{"id":92665,"date":"2026-07-11T02:39:49","date_gmt":"2026-07-11T02:39:49","guid":{"rendered":"https:\/\/gaeatech.com\/knowledge-center\/?p=92665"},"modified":"2026-06-26T03:17:12","modified_gmt":"2026-06-26T03:17:12","slug":"core-logging-qaqc-mineral-exploration","status":"publish","type":"post","link":"https:\/\/gaeatech.com\/knowledge-center\/core-logging-qaqc-mineral-exploration\/","title":{"rendered":"Core Logging QA\/QC in Mineral Exploration"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Best Practices for Producing Accurate, Consistent, and Defensible Geological Core Data<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Diamond drilling is one of the largest investments made during a mineral exploration program. Every metre of core recovered represents significant drilling costs and provides valuable geological information that may influence exploration strategy, resource estimation, mine planning, and investment decisions. Because of this, the quality of core logging is fundamental to the success of any exploration project.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging is far more than simply describing rock. It captures lithology, alteration, mineralization, structures, weathering, core recovery, Rock Quality Designation (RQD), geotechnical measurements, geochemistry sampling, photography, and numerous geological observations that collectively form the foundation of exploration databases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Poor-quality core logging can have serious consequences. Inconsistent lithology coding, incorrect recovery calculations, inaccurate structural measurements, or poorly documented sampling intervals can affect resource models, reduce investor confidence, delay permitting, and increase exploration costs. In publicly traded mining companies, inaccurate geological data may also have regulatory implications under reporting standards such as NI 43-101, JORC, and other international resource reporting codes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A comprehensive Quality Assurance and Quality Control (QA\/QC) program helps ensure that geological core data remains accurate, consistent, traceable, and suitable for long-term decision-making.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This article examines best practices for QA\/QC in mineral exploration core logging, covering field procedures, digital data capture, validation rules, review workflows, and data governance.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Why Core Logging QA\/QC Matters<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging influences virtually every stage of mineral exploration.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reliable core data supports:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Geological interpretation<\/li>\n\n\n\n<li>Structural modelling<\/li>\n\n\n\n<li>Resource estimation<\/li>\n\n\n\n<li>Grade control<\/li>\n\n\n\n<li>Geotechnical analysis<\/li>\n\n\n\n<li>Hydrogeological studies<\/li>\n\n\n\n<li>Mine planning<\/li>\n\n\n\n<li>Environmental assessments<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Errors introduced during logging often propagate through downstream models, making them increasingly difficult and expensive to correct.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">High-quality QA\/QC reduces these risks while improving confidence in exploration results.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Establish Standard Logging Procedures<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Consistency begins with standardized logging protocols.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Every geologist should follow documented procedures covering:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lithology descriptions<\/li>\n\n\n\n<li>Alteration logging<\/li>\n\n\n\n<li>Mineralization logging<\/li>\n\n\n\n<li>Structural measurements<\/li>\n\n\n\n<li>Recovery calculations<\/li>\n\n\n\n<li>RQD measurements<\/li>\n\n\n\n<li>Weathering classifications<\/li>\n\n\n\n<li>Sample selection<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Without standardized procedures, different geologists may record identical geology in different ways.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Controlled Geological Coding<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Free-text descriptions create inconsistency.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Granite<\/li>\n\n\n\n<li>GRANITE<\/li>\n\n\n\n<li>Granitic<\/li>\n\n\n\n<li>Granite (pink)<\/li>\n\n\n\n<li>Biotite Granite<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">While geologically meaningful, inconsistent terminology complicates searching, reporting, and modelling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations should implement:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Controlled lithology codes<\/li>\n\n\n\n<li>Standard alteration codes<\/li>\n\n\n\n<li>Mineralization codes<\/li>\n\n\n\n<li>Weathering classifications<\/li>\n\n\n\n<li>Structure classifications<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Controlled vocabularies improve consistency across projects and logging teams.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Core Recovery QA\/QC<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core recovery is one of the most important geotechnical measurements recorded during drilling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery influences:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Rock quality<\/li>\n\n\n\n<li>Structural interpretation<\/li>\n\n\n\n<li>Geotechnical assessments<\/li>\n\n\n\n<li>Resource confidence<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Validation Rules<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery should be checked automatically.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Recovery \u2264 run length<\/li>\n\n\n\n<li>Recovery \u2265 0%<\/li>\n\n\n\n<li>Recovery does not exceed 100%<\/li>\n\n\n\n<li>Missing recovery values identified<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Automated validation prevents many common calculation errors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Rock Quality Designation (RQD)<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">RQD remains one of the most widely used measures of rock quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because RQD depends on accurate measurement of core pieces greater than 100 mm, consistent procedures are essential.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">QA\/QC Checks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Validation should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>RQD \u2264 Recovery<\/li>\n\n\n\n<li>RQD \u2264 100%<\/li>\n\n\n\n<li>RQD intervals match recovery intervals<\/li>\n\n\n\n<li>Missing RQD where competent rock exists<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Cross-validation between RQD and recovery improves data quality.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Lithology Logging<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Lithology forms the foundation of geological interpretation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">QA procedures should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Continuous intervals<\/li>\n\n\n\n<li>No overlapping intervals<\/li>\n\n\n\n<li>No unexplained gaps<\/li>\n\n\n\n<li>Standardized codes<\/li>\n\n\n\n<li>Complete descriptions<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Automated interval validation greatly reduces transcription errors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Alteration Logging<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Alteration often controls mineralization.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consistent recording improves:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Target generation<\/li>\n\n\n\n<li>Resource interpretation<\/li>\n\n\n\n<li>Deposit modelling<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Standardized intensity scales and alteration codes reduce subjectivity.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Structural Data QA\/QC<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Structural measurements frequently influence resource models and mine design.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fractures<\/li>\n\n\n\n<li>Faults<\/li>\n\n\n\n<li>Veins<\/li>\n\n\n\n<li>Bedding<\/li>\n\n\n\n<li>Foliation<\/li>\n\n\n\n<li>Joint orientation<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Validation should evaluate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Valid orientation ranges<\/li>\n\n\n\n<li>Missing measurements<\/li>\n\n\n\n<li>Duplicate records<\/li>\n\n\n\n<li>Impossible dip values<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Digital capture significantly reduces manual errors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Sampling QA\/QC<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Geochemical sampling requires strict quality control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sampling errors cannot be corrected later.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Sample Interval Validation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Validation should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Samples cover intended intervals.<\/li>\n\n\n\n<li>No overlaps occur.<\/li>\n\n\n\n<li>No unintended gaps exist.<\/li>\n\n\n\n<li>Sample IDs remain unique.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Sample Numbering<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Duplicate sample identifiers create major database problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern databases should automatically reject duplicate IDs.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">QA\/QC Samples<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Exploration programs should routinely include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Certified reference materials<\/li>\n\n\n\n<li>Blanks<\/li>\n\n\n\n<li>Field duplicates<\/li>\n\n\n\n<li>Coarse duplicates<\/li>\n\n\n\n<li>Pulp duplicates<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These samples evaluate analytical performance and laboratory consistency.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Core Photography<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">High-quality core photography provides permanent documentation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">QA procedures should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Correct orientation<\/li>\n\n\n\n<li>Complete coverage<\/li>\n\n\n\n<li>Proper lighting<\/li>\n\n\n\n<li>Scale visibility<\/li>\n\n\n\n<li>Sample tags visible<\/li>\n\n\n\n<li>Tray identification<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Photographs become valuable references during future reviews and audits.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Digital Logging<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Many exploration companies now use digital logging systems instead of paper forms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Digital logging improves:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data consistency<\/li>\n\n\n\n<li>Validation<\/li>\n\n\n\n<li>Searchability<\/li>\n\n\n\n<li>Reporting<\/li>\n\n\n\n<li>Integration with resource models<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Field validation reduces transcription errors before information reaches the database.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Automated Validation Rules<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Modern geological databases can automatically evaluate hundreds of rules.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Domain Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Approved lithology codes only.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Range Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery and RQD within acceptable limits.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Cross-Dataset Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Compare related datasets.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Recovery vs RQD<\/li>\n\n\n\n<li>Sample depth vs lithology interval<\/li>\n\n\n\n<li>Core photographs vs logged intervals<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Completeness Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Identify missing fields before approval.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Automation dramatically reduces manual QA effort.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Cross-Dataset Validation<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Relationships between datasets should always be verified.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Dataset Comparison<\/th><th>Validation<\/th><\/tr><\/thead><tbody><tr><td>Recovery vs RQD<\/td><td>RQD \u2264 Recovery<\/td><\/tr><tr><td>Sample interval vs lithology<\/td><td>Interval exists<\/td><\/tr><tr><td>Core tray vs photograph<\/td><td>Complete documentation<\/td><\/tr><tr><td>Structural data vs lithology<\/td><td>Correct interval<\/td><\/tr><tr><td>Assays vs sample IDs<\/td><td>Valid relationship<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Cross-validation often detects errors that individual dataset reviews miss.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Metadata Management<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Metadata preserves important context.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Logger<\/li>\n\n\n\n<li>Logging date<\/li>\n\n\n\n<li>Drill rig<\/li>\n\n\n\n<li>Drill contractor<\/li>\n\n\n\n<li>Core diameter<\/li>\n\n\n\n<li>Orientation method<\/li>\n\n\n\n<li>Coordinate system<\/li>\n\n\n\n<li>Photography date<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Metadata improves long-term traceability.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Review Workflows<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Validation alone cannot guarantee geological quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Experienced geologists should review:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Geological interpretation<\/li>\n\n\n\n<li>Stratigraphic consistency<\/li>\n\n\n\n<li>Structural interpretation<\/li>\n\n\n\n<li>Alteration zoning<\/li>\n\n\n\n<li>Sampling strategy<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Independent review remains an essential QA component.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Approval Workflows<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logs should follow structured workflows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Example:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Draft<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Initial logging completed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Automated QA\/QC executed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Technical Review<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Senior geologist review.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Approval<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Record locked for resource modelling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Revision (if required)<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Controlled reopening workflow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Structured workflows improve accountability and consistency.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Audit Trails<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Every modification should be recorded.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Audit trails should capture:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>User<\/li>\n\n\n\n<li>Date<\/li>\n\n\n\n<li>Time<\/li>\n\n\n\n<li>Modified field<\/li>\n\n\n\n<li>Previous value<\/li>\n\n\n\n<li>New value<\/li>\n\n\n\n<li>Reason for change<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Audit trails support both technical review and regulatory compliance.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Data Governance<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Successful QA\/QC depends upon clear governance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations should define:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data ownership<\/li>\n\n\n\n<li>Logging standards<\/li>\n\n\n\n<li>User permissions<\/li>\n\n\n\n<li>Review responsibilities<\/li>\n\n\n\n<li>Approval authority<\/li>\n\n\n\n<li>Revision procedures<\/li>\n\n\n\n<li>Retention policies<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Governance ensures consistency throughout the exploration program.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Common Core Logging Errors<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Frequently encountered issues include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Missing recovery values<\/li>\n\n\n\n<li>Incorrect RQD calculations<\/li>\n\n\n\n<li>Duplicate sample IDs<\/li>\n\n\n\n<li>Overlapping lithology intervals<\/li>\n\n\n\n<li>Missing photographs<\/li>\n\n\n\n<li>Inconsistent lithology codes<\/li>\n\n\n\n<li>Incorrect structural measurements<\/li>\n\n\n\n<li>Unvalidated alterations<\/li>\n\n\n\n<li>Missing metadata<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Most can be identified automatically before data approval.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Preparing for Resource Estimation<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Before geological information enters resource modelling, organizations should confirm:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Validation complete<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Technical review completed<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Sampling verified<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 QA\/QC samples reviewed<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Lithology complete<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Recovery validated<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 RQD validated<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Structural data reviewed<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Photographs archived<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Audit trail complete<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Only validated information should be used for resource estimation.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Regulatory Reporting Considerations<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Publicly reported exploration results must be supported by reliable geological data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Well-documented QA\/QC procedures help demonstrate that exploration information has been collected, reviewed, and managed using recognized professional practices.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Comprehensive validation, documented review workflows, audit trails, and traceable sampling records strengthen confidence in exploration data and support preparation of technical reports prepared under applicable reporting frameworks.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Emerging Technologies<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging continues to evolve rapidly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern systems increasingly incorporate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Digital core logging tablets<\/li>\n\n\n\n<li>AI-assisted lithology recognition<\/li>\n\n\n\n<li>Automated core photography<\/li>\n\n\n\n<li>Machine vision fracture analysis<\/li>\n\n\n\n<li>Cloud-based geological databases<\/li>\n\n\n\n<li>Real-time validation<\/li>\n\n\n\n<li>Barcode sample tracking<\/li>\n\n\n\n<li>Integration with 3D geological modelling<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These technologies improve efficiency while maintaining high-quality QA\/QC standards.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Best Practices Summary<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations can improve core logging quality by:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Standardizing geological logging procedures.<\/li>\n\n\n\n<li>Using controlled geological vocabularies.<\/li>\n\n\n\n<li>Capturing data digitally whenever possible.<\/li>\n\n\n\n<li>Validating recovery and RQD automatically.<\/li>\n\n\n\n<li>Cross-checking related datasets.<\/li>\n\n\n\n<li>Including certified QA\/QC samples.<\/li>\n\n\n\n<li>Maintaining complete metadata.<\/li>\n\n\n\n<li>Requiring independent geological review.<\/li>\n\n\n\n<li>Preserving audit trails and version history.<\/li>\n\n\n\n<li>Implementing structured approval workflows.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">Conclusion<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging is one of the most important sources of information in mineral exploration, and its quality directly affects geological interpretation, resource estimation, mine planning, and investment decisions. A comprehensive QA\/QC program should encompass standardized logging procedures, controlled geological coding, automated validation, cross-dataset verification, structured review workflows, audit trails, and robust data governance. By combining modern digital logging systems with experienced geological oversight, exploration companies can significantly improve the accuracy, consistency, and defensibility of their geological databases. As mineral exploration becomes increasingly data-driven, organizations that invest in rigorous core logging QA\/QC will be better positioned to make confident exploration decisions, support transparent resource reporting, and maximize the long-term value of their geological information.<\/p>\n\n\n\n<h1 id=\"h-best-practices-for-producing-accurate-consistent-and-defensible-geological-core-data\" class=\"wp-block-heading\">Best Practices for Producing Accurate, Consistent, and Defensible Geological Core Data<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Diamond drilling is one of the largest investments made during a mineral exploration program. Every metre of core recovered represents significant drilling costs and provides valuable geological information that may influence exploration strategy, resource estimation, mine planning, and investment decisions. Because of this, the quality of core logging is fundamental to the success of any exploration project.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging is far more than simply describing rock. It captures lithology, alteration, mineralization, structures, weathering, core recovery, Rock Quality Designation (RQD), geotechnical measurements, geochemistry sampling, photography, and numerous geological observations that collectively form the foundation of exploration databases.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Poor-quality core logging can have serious consequences. Inconsistent lithology coding, incorrect recovery calculations, inaccurate structural measurements, or poorly documented sampling intervals can affect resource models, reduce investor confidence, delay permitting, and increase exploration costs. In publicly traded mining companies, inaccurate geological data may also have regulatory implications under reporting standards such as NI 43-101, JORC, and other international resource reporting codes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A comprehensive Quality Assurance and Quality Control (QA\/QC) program helps ensure that geological core data remains accurate, consistent, traceable, and suitable for long-term decision-making.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This article examines best practices for QA\/QC in mineral exploration core logging, covering field procedures, digital data capture, validation rules, review workflows, and data governance.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-why-core-logging-qa-qc-matters\" class=\"wp-block-heading\">Why Core Logging QA\/QC Matters<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging influences virtually every stage of mineral exploration.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Reliable core data supports:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Geological interpretation<\/li>\n\n\n\n<li>Structural modelling<\/li>\n\n\n\n<li>Resource estimation<\/li>\n\n\n\n<li>Grade control<\/li>\n\n\n\n<li>Geotechnical analysis<\/li>\n\n\n\n<li>Hydrogeological studies<\/li>\n\n\n\n<li>Mine planning<\/li>\n\n\n\n<li>Environmental assessments<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Errors introduced during logging often propagate through downstream models, making them increasingly difficult and expensive to correct.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">High-quality QA\/QC reduces these risks while improving confidence in exploration results.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-establish-standard-logging-procedures\" class=\"wp-block-heading\">Establish Standard Logging Procedures<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Consistency begins with standardized logging protocols.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Every geologist should follow documented procedures covering:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lithology descriptions<\/li>\n\n\n\n<li>Alteration logging<\/li>\n\n\n\n<li>Mineralization logging<\/li>\n\n\n\n<li>Structural measurements<\/li>\n\n\n\n<li>Recovery calculations<\/li>\n\n\n\n<li>RQD measurements<\/li>\n\n\n\n<li>Weathering classifications<\/li>\n\n\n\n<li>Sample selection<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Without standardized procedures, different geologists may record identical geology in different ways.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-controlled-geological-coding\" class=\"wp-block-heading\">Controlled Geological Coding<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Free-text descriptions create inconsistency.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Granite<\/li>\n\n\n\n<li>GRANITE<\/li>\n\n\n\n<li>Granitic<\/li>\n\n\n\n<li>Granite (pink)<\/li>\n\n\n\n<li>Biotite Granite<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">While geologically meaningful, inconsistent terminology complicates searching, reporting, and modelling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations should implement:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Controlled lithology codes<\/li>\n\n\n\n<li>Standard alteration codes<\/li>\n\n\n\n<li>Mineralization codes<\/li>\n\n\n\n<li>Weathering classifications<\/li>\n\n\n\n<li>Structure classifications<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Controlled vocabularies improve consistency across projects and logging teams.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-core-recovery-qa-qc\" class=\"wp-block-heading\">Core Recovery QA\/QC<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core recovery is one of the most important geotechnical measurements recorded during drilling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery influences:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Rock quality<\/li>\n\n\n\n<li>Structural interpretation<\/li>\n\n\n\n<li>Geotechnical assessments<\/li>\n\n\n\n<li>Resource confidence<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-validation-rules\" class=\"wp-block-heading\">Validation Rules<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery should be checked automatically.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Recovery \u2264 run length<\/li>\n\n\n\n<li>Recovery \u2265 0%<\/li>\n\n\n\n<li>Recovery does not exceed 100%<\/li>\n\n\n\n<li>Missing recovery values identified<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Automated validation prevents many common calculation errors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-rock-quality-designation-rqd\" class=\"wp-block-heading\">Rock Quality Designation (RQD)<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">RQD remains one of the most widely used measures of rock quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because RQD depends on accurate measurement of core pieces greater than 100 mm, consistent procedures are essential.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-qa-qc-checks\" class=\"wp-block-heading\">QA\/QC Checks<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Validation should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>RQD \u2264 Recovery<\/li>\n\n\n\n<li>RQD \u2264 100%<\/li>\n\n\n\n<li>RQD intervals match recovery intervals<\/li>\n\n\n\n<li>Missing RQD where competent rock exists<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Cross-validation between RQD and recovery improves data quality.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-lithology-logging\" class=\"wp-block-heading\">Lithology Logging<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Lithology forms the foundation of geological interpretation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">QA procedures should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Continuous intervals<\/li>\n\n\n\n<li>No overlapping intervals<\/li>\n\n\n\n<li>No unexplained gaps<\/li>\n\n\n\n<li>Standardized codes<\/li>\n\n\n\n<li>Complete descriptions<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Automated interval validation greatly reduces transcription errors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-alteration-logging\" class=\"wp-block-heading\">Alteration Logging<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Alteration often controls mineralization.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Consistent recording improves:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Target generation<\/li>\n\n\n\n<li>Resource interpretation<\/li>\n\n\n\n<li>Deposit modelling<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Standardized intensity scales and alteration codes reduce subjectivity.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-structural-data-qa-qc\" class=\"wp-block-heading\">Structural Data QA\/QC<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Structural measurements frequently influence resource models and mine design.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Fractures<\/li>\n\n\n\n<li>Faults<\/li>\n\n\n\n<li>Veins<\/li>\n\n\n\n<li>Bedding<\/li>\n\n\n\n<li>Foliation<\/li>\n\n\n\n<li>Joint orientation<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Validation should evaluate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Valid orientation ranges<\/li>\n\n\n\n<li>Missing measurements<\/li>\n\n\n\n<li>Duplicate records<\/li>\n\n\n\n<li>Impossible dip values<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Digital capture significantly reduces manual errors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-sampling-qa-qc\" class=\"wp-block-heading\">Sampling QA\/QC<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Geochemical sampling requires strict quality control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sampling errors cannot be corrected later.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-sample-interval-validation\" class=\"wp-block-heading\">Sample Interval Validation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Validation should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Samples cover intended intervals.<\/li>\n\n\n\n<li>No overlaps occur.<\/li>\n\n\n\n<li>No unintended gaps exist.<\/li>\n\n\n\n<li>Sample IDs remain unique.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-sample-numbering\" class=\"wp-block-heading\">Sample Numbering<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Duplicate sample identifiers create major database problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern databases should automatically reject duplicate IDs.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 id=\"h-qa-qc-samples\" class=\"wp-block-heading\">QA\/QC Samples<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Exploration programs should routinely include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Certified reference materials<\/li>\n\n\n\n<li>Blanks<\/li>\n\n\n\n<li>Field duplicates<\/li>\n\n\n\n<li>Coarse duplicates<\/li>\n\n\n\n<li>Pulp duplicates<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These samples evaluate analytical performance and laboratory consistency.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-core-photography\" class=\"wp-block-heading\">Core Photography<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">High-quality core photography provides permanent documentation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">QA procedures should verify:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Correct orientation<\/li>\n\n\n\n<li>Complete coverage<\/li>\n\n\n\n<li>Proper lighting<\/li>\n\n\n\n<li>Scale visibility<\/li>\n\n\n\n<li>Sample tags visible<\/li>\n\n\n\n<li>Tray identification<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Photographs become valuable references during future reviews and audits.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-digital-logging\" class=\"wp-block-heading\">Digital Logging<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Many exploration companies now use digital logging systems instead of paper forms.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Digital logging improves:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data consistency<\/li>\n\n\n\n<li>Validation<\/li>\n\n\n\n<li>Searchability<\/li>\n\n\n\n<li>Reporting<\/li>\n\n\n\n<li>Integration with resource models<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Field validation reduces transcription errors before information reaches the database.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-automated-validation-rules\" class=\"wp-block-heading\">Automated Validation Rules<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Modern geological databases can automatically evaluate hundreds of rules.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<h3 id=\"h-domain-validation\" class=\"wp-block-heading\">Domain Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Approved lithology codes only.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"h-range-validation\" class=\"wp-block-heading\">Range Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Recovery and RQD within acceptable limits.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"h-cross-dataset-validation\" class=\"wp-block-heading\">Cross-Dataset Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Compare related datasets.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Recovery vs RQD<\/li>\n\n\n\n<li>Sample depth vs lithology interval<\/li>\n\n\n\n<li>Core photographs vs logged intervals<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 id=\"h-completeness-validation\" class=\"wp-block-heading\">Completeness Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Identify missing fields before approval.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Automation dramatically reduces manual QA effort.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-cross-dataset-validation-0\" class=\"wp-block-heading\">Cross-Dataset Validation<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Relationships between datasets should always be verified.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Dataset Comparison<\/th><th>Validation<\/th><\/tr><\/thead><tbody><tr><td>Recovery vs RQD<\/td><td>RQD \u2264 Recovery<\/td><\/tr><tr><td>Sample interval vs lithology<\/td><td>Interval exists<\/td><\/tr><tr><td>Core tray vs photograph<\/td><td>Complete documentation<\/td><\/tr><tr><td>Structural data vs lithology<\/td><td>Correct interval<\/td><\/tr><tr><td>Assays vs sample IDs<\/td><td>Valid relationship<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Cross-validation often detects errors that individual dataset reviews miss.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-metadata-management\" class=\"wp-block-heading\">Metadata Management<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Metadata preserves important context.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Logger<\/li>\n\n\n\n<li>Logging date<\/li>\n\n\n\n<li>Drill rig<\/li>\n\n\n\n<li>Drill contractor<\/li>\n\n\n\n<li>Core diameter<\/li>\n\n\n\n<li>Orientation method<\/li>\n\n\n\n<li>Coordinate system<\/li>\n\n\n\n<li>Photography date<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Metadata improves long-term traceability.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-review-workflows\" class=\"wp-block-heading\">Review Workflows<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Validation alone cannot guarantee geological quality.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Experienced geologists should review:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Geological interpretation<\/li>\n\n\n\n<li>Stratigraphic consistency<\/li>\n\n\n\n<li>Structural interpretation<\/li>\n\n\n\n<li>Alteration zoning<\/li>\n\n\n\n<li>Sampling strategy<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Independent review remains an essential QA component.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-approval-workflows\" class=\"wp-block-heading\">Approval Workflows<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logs should follow structured workflows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Example:<\/p>\n\n\n\n<h3 id=\"h-draft\" class=\"wp-block-heading\">Draft<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Initial logging completed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 id=\"h-validation\" class=\"wp-block-heading\">Validation<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Automated QA\/QC executed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 id=\"h-technical-review\" class=\"wp-block-heading\">Technical Review<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Senior geologist review.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 id=\"h-approval\" class=\"wp-block-heading\">Approval<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Record locked for resource modelling.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2193<\/p>\n\n\n\n<h3 id=\"h-revision-if-required\" class=\"wp-block-heading\">Revision (if required)<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Controlled reopening workflow.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Structured workflows improve accountability and consistency.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-audit-trails\" class=\"wp-block-heading\">Audit Trails<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Every modification should be recorded.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Audit trails should capture:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>User<\/li>\n\n\n\n<li>Date<\/li>\n\n\n\n<li>Time<\/li>\n\n\n\n<li>Modified field<\/li>\n\n\n\n<li>Previous value<\/li>\n\n\n\n<li>New value<\/li>\n\n\n\n<li>Reason for change<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Audit trails support both technical review and regulatory compliance.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-data-governance\" class=\"wp-block-heading\">Data Governance<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Successful QA\/QC depends upon clear governance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations should define:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data ownership<\/li>\n\n\n\n<li>Logging standards<\/li>\n\n\n\n<li>User permissions<\/li>\n\n\n\n<li>Review responsibilities<\/li>\n\n\n\n<li>Approval authority<\/li>\n\n\n\n<li>Revision procedures<\/li>\n\n\n\n<li>Retention policies<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Governance ensures consistency throughout the exploration program.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-common-core-logging-errors\" class=\"wp-block-heading\">Common Core Logging Errors<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Frequently encountered issues include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Missing recovery values<\/li>\n\n\n\n<li>Incorrect RQD calculations<\/li>\n\n\n\n<li>Duplicate sample IDs<\/li>\n\n\n\n<li>Overlapping lithology intervals<\/li>\n\n\n\n<li>Missing photographs<\/li>\n\n\n\n<li>Inconsistent lithology codes<\/li>\n\n\n\n<li>Incorrect structural measurements<\/li>\n\n\n\n<li>Unvalidated alterations<\/li>\n\n\n\n<li>Missing metadata<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Most can be identified automatically before data approval.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-preparing-for-resource-estimation\" class=\"wp-block-heading\">Preparing for Resource Estimation<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Before geological information enters resource modelling, organizations should confirm:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Validation complete<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Technical review completed<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Sampling verified<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 QA\/QC samples reviewed<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Lithology complete<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Recovery validated<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 RQD validated<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Structural data reviewed<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Photographs archived<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2713 Audit trail complete<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Only validated information should be used for resource estimation.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-regulatory-reporting-considerations\" class=\"wp-block-heading\">Regulatory Reporting Considerations<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Publicly reported exploration results must be supported by reliable geological data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Well-documented QA\/QC procedures help demonstrate that exploration information has been collected, reviewed, and managed using recognized professional practices.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Comprehensive validation, documented review workflows, audit trails, and traceable sampling records strengthen confidence in exploration data and support preparation of technical reports prepared under applicable reporting frameworks.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-emerging-technologies\" class=\"wp-block-heading\">Emerging Technologies<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging continues to evolve rapidly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modern systems increasingly incorporate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Digital core logging tablets<\/li>\n\n\n\n<li>AI-assisted lithology recognition<\/li>\n\n\n\n<li>Automated core photography<\/li>\n\n\n\n<li>Machine vision fracture analysis<\/li>\n\n\n\n<li>Cloud-based geological databases<\/li>\n\n\n\n<li>Real-time validation<\/li>\n\n\n\n<li>Barcode sample tracking<\/li>\n\n\n\n<li>Integration with 3D geological modelling<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These technologies improve efficiency while maintaining high-quality QA\/QC standards.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-best-practices-summary\" class=\"wp-block-heading\">Best Practices Summary<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations can improve core logging quality by:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Standardizing geological logging procedures.<\/li>\n\n\n\n<li>Using controlled geological vocabularies.<\/li>\n\n\n\n<li>Capturing data digitally whenever possible.<\/li>\n\n\n\n<li>Validating recovery and RQD automatically.<\/li>\n\n\n\n<li>Cross-checking related datasets.<\/li>\n\n\n\n<li>Including certified QA\/QC samples.<\/li>\n\n\n\n<li>Maintaining complete metadata.<\/li>\n\n\n\n<li>Requiring independent geological review.<\/li>\n\n\n\n<li>Preserving audit trails and version history.<\/li>\n\n\n\n<li>Implementing structured approval workflows.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 id=\"h-conclusion\" class=\"wp-block-heading\">Conclusion<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Core logging is one of the most important sources of information in mineral exploration, and its quality directly affects geological interpretation, resource estimation, mine planning, and investment decisions. A comprehensive QA\/QC program should encompass standardized logging procedures, controlled geological coding, automated validation, cross-dataset verification, structured review workflows, audit trails, and robust data governance. By combining modern digital logging systems with experienced geological oversight, exploration companies can significantly improve the accuracy, consistency, and defensibility of their geological databases. As mineral exploration becomes increasingly data-driven, organizations that invest in rigorous core logging QA\/QC will be better positioned to make confident exploration decisions, support transparent resource reporting, and maximize the long-term value of their geological information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Best Practices for Producing Accurate, Consistent, and Defensible Geological Core Data Diamond drilling is one of the largest investments made during a mineral exploration program. Every metre of core recovered represents significant drilling costs and provides valuable geological information that may influence exploration strategy, resource estimation, mine planning, and investment decisions. Because of this, the [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":92666,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[792,1880],"tags":[1977,1980,1985,1986,1979,1982,422,809,1885,1167,1978,1984,481,1983,1981],"class_list":["post-92665","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-borehole-data-management","category-borehole-qa-qc","tag-core-logging","tag-core-recovery","tag-digital-core-logging","tag-exploration-data-validation","tag-exploration-drilling","tag-geochemistry-sampling","tag-geological-data-management","tag-geological-database","tag-geological-qa-qc","tag-lithology-logging","tag-mineral-exploration","tag-mining-qa-qc","tag-mining-software","tag-resource-estimation","tag-rqd"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.7 (Yoast SEO v27.7) - 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