Centre for Computational Geostatistics (CCG)
The Centre for Computational Geostatistics is a University of Alberta research consortium founded in 1998 that conducts applied geostatistical research and delivers software, training, and graduate education to ~32 supporting companies in mining, petroleum, and environmental engineering.
- Company typePrivate
- Founded1998
- HeadquartersEdmonton, Canada
- Headcount1–10
- GTM typeB2B
- OfferingServices
What Centre for Computational Geostatistics (CCG) does
The Centre for Computational Geostatistics (CCG) is an applied research group and industry consortium at the University of Alberta in Edmonton, Canada, founded in 1998 to advance the practice of geostatistical modeling for natural resource heterogeneity and uncertainty quantification. CCG is co-directed by Dr. Clayton V. Deutsch (Canada Research Chair in Natural Resources Uncertainty Characterization, Alberta Chamber of Resources Industry Chair, 300+ publications, 8 books) and Dr. Jeff Boisvert (125+ publications), with a lean core of three full-time staff plus approximately 16 graduate students. Its primary constituents are roughly 32 supporting companies spanning mining (BHP, Barrick, Newmont, Teck, Rio Tinto, Vale, Freeport-McMoran, GoldFields, Nevada Gold Mines), petroleum (Chevron, Petrobras), mining technology (Maptek Sudamérica), and environmental engineering, supplemented by a 70+ alumni network (34 PhD, 37 MSc) now distributed across global industry.
CCG's product surface consists of the CCG Knowledge Base and CCG Server (online repositories granting members access to hundreds of specialized software programs, thousands of technical papers, monographs, guidebooks, and training images), recurring training programs (the Citation Program in Applied Geostatistics, Fundamentals and Advanced Geostatistics short courses, SAGD Reservoir Characterization), joint courses with Resource Modeling Solutions, CSPG-certified offerings, and an annual CCG Meeting (20+ presentations; September 15-16, 2026 and September 16-17, 2025 editions). Underlying technology spans established geostatistical methods (Sequential Indicator Simulation, Multiple-Point Statistics, Hierarchical Truncated Pluri-Gaussian Simulation) plus emerging work that integrates machine learning with geostatistics for hyperspectral drill-core image classification, point cloud analysis, generative modeling for reservoir characterization, and UAV-based spatial mapping for wildland fire and mine rescue. Faculty place all inventions in the public domain with preferential access reserved for sponsors.
CCG's business model is an industrial affiliates / joint industry program funded by undisclosed membership fees from its ~32 supporting companies, augmented by training program registration fees and academic grant support through the University of Alberta. Members receive preferential access to faculty, early publication access, recruitment access to graduate students, and conference attendance rights, while the program funds tuition and stipends for graduate students, sustains applied research, and provides faculty a venue for industry-validated problem selection. Go-to-market relies on direct enterprise outreach, conference presence (annual meeting, joint CSPG courses), word-of-mouth through the alumni network, and the publicly accessible Geostatistics Lessons website for top-of-funnel awareness.
Centre for Computational Geostatistics (CCG) firmographics
Firmographics- Name
- Centre for Computational Geostatistics (CCG)
- Legal name
- Centre for Computational Geostatistics
- Website
- https://ccgalberta.com
- Company type
- Private
- Founded year
- 1998
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- The Centre for Computational Geostatistics is a University of Alberta research consortium founded in 1998 that conducts applied geostatistical research and delivers software, training, and graduate education to ~32 supporting companies in mining, petroleum, and environmental engineering.
- Ownership category
- akta.pro rank
Where Centre for Computational Geostatistics (CCG) is headquartered
LocationHeadquarters
- HQ city
- Edmonton
- HQ country
- Canada
- HQ region
- North America
Offices1 record
Markets served
Centre for Computational Geostatistics (CCG) business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Others
Revenue model
- Industry Membership Fees: Supporting companies pay membership fees to join the CCG industry consortium. In return, members receive access to specialized geostatistical software programs, thousands of technical papers, presentations, course material, guidebooks, monographs, training images and many other resources. Members are invited to the two-day annual conference and receive preferential access to professors, researchers and students for recruitment and consultation.
Go-to-market motion2 records
Distribution channels1 record
Marketing channels5 records
Centre for Computational Geostatistics (CCG) product offering
Product offeringCore offering
CCG is an applied research group and industry consortium at the University of Alberta that delivers specialized geostatistical software, training programs (Citation Program, Fundamentals, Advanced and SAGD short courses), and an annual research meeting. Supporting companies pay membership fees to access proprietary geostatistical software, thousands of technical papers, training images, faculty expertise, and preferential recruitment access to graduate students.
Product overview
The Centre for Computational Geostatistics (CCG) is a research consortium at the University of Alberta offering a portfolio of geostatistical research, software resources, and professional training programs. The core offerings include the CCG Knowledge Base and CCG Server providing members access to specialized software and technical publications. CCG delivers structured training through the Citation Program in Applied Geostatistics (an intensive four-week certificate program), multiple short courses (Fundamentals of Geostatistics, Advanced Geostatistics, SAGD Reservoir Characterization), and the annual CCG Meeting conference. The CCG Membership program serves approximately 32 supporting companies across mining, petroleum, and environmental sectors.
Differentiator
Problem solved
Functional benefit
Products and services
- CCG Membership Industry consortium membership providing approximately 32 supporting companies access to hundreds of specialized geostatistical software programs, thousands of technical papers, presentations, course material, guidebooks, monographs, training images, preferential access to faculty/researchers/students, and annual conference attendance.
- CCG Knowledge Base Online repository providing CCG members access to specialized geostatistical software programs, technical papers, course materials, guidebooks, monographs, training images and other research resources.
- CCG Server Centralized computing server providing CCG members access to specialized geostatistical software and computational resources for modeling heterogeneity and uncertainty.
- Citation Program in Applied Geostatistics Intensive four-week professional development certificate program (May-August) providing deep understanding of latest techniques for geostatistical characterization and resource quantification, targeted at working professionals.
- Fundamentals of Geostatistics Short Course Professional development course for those seeking greater understanding of the role of geostatistics in resource characterization, forecasting and management.
- Advanced Geostatistics Short Course CSPG-certified course for novice and experienced geomodelers interested in latest developments in geostatistics, held in Calgary, Alberta.
- SAGD Reservoir Characterization Short Course CSPG-certified course for geomodelers and engineers managing heavy oil projects in Northern Alberta and around the world, focusing on geostatistical and optimization techniques for Steam-Assisted Gravity Drainage (SAGD) reservoirs.
- Annual CCG Meeting Two-day annual conference featuring 20+ presentations showcasing recent research, methodological advances, and applied developments in geostatistics, providing forum for knowledge exchange among researchers, practitioners, and students.
- Joint CCG/RMS Short Courses Remote educational courses on geostatistical modeling offered in partnership with Resource Modeling Solutions, expanding the geographic reach of CCG training.
Quantifiable outcome
- Produced over 70 graduate alumni (34 PhD, 37 MSc)
- +1 more outcomes
Companies that use Centre for Computational Geostatistics (CCG)
Customer profileNamed customers12 records
Segments4 records
Ideal customer profiles4 records
Centre for Computational Geostatistics (CCG) technology and API
TechnologyTechnology focussed No
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability8 records
Feature5 records
Centre for Computational Geostatistics (CCG) partnerships and signals
Strategic signalPartnerships
15 partnerships are on record, tiered core and minor.
- Maptek SudaméricacoreResearch partner and member company in CCG industry consortium. Maptek provides technology solutions for mining and participates in collaborative geostatistical research.
- Newmont Mining CorporationcoreMajor gold mining company and founding member of CCG consortium. Newmont participates in research projects and recruits graduate students from CCG.
- Teck Resources LimitedcoreMajor Canadian mining company and CCG member. Teck contributes to and benefits from geostatistical research and student recruitment.
- Barrick Gold CorporationcoreWorld's largest gold mining company and CCG member participating in geostatistical research initiatives.
- BHPcoreGlobal mining corporation and CCG member supporting geostatistical research and education.
- Chevron Energy TechnologycoreEnergy technology division of Chevron participating in CCG research for petroleum reservoir geostatistics.
- Freeport-McMorancoreMajor copper and gold mining company and CCG member.
- GoldFields LimitedcoreGlobal gold mining company and CCG member company.
- Nevada Gold MinescoreLarge gold mining operation and CCG member.
- PetrobrascoreBrazilian national petroleum company and CCG member focused on reservoir modeling research.
- Rio Tinto LimitedcoreGlobal mining group and CCG member supporting geostatistical research.
- ValecoreBrazilian multinational mining corporation and CCG member.
- Resource Modeling Solutions (RMS)corePartnership for joint CCG/RMS Short Courses. RMS offers geostatistical modeling courses in partnership with CCG, providing remote educational courses on geostatistical modelling.
- University of AlbertacoreHost institution providing academic infrastructure, faculty positions, and research framework. The CCG operates within the School of Mining and Petroleum Engineering.
- Canadian Society for Petroleum Geologists (CSPG)minorCSPG partners with CCG to offer professional short courses on geostatistics and reservoir characterization.
Scale indicators5 records
Recent moves7 records
Expansion highlights6 records
Centre for Computational Geostatistics (CCG) competitors and assessment
Company assessmentDirect peers
- Seequent (Leapfrog): Geological modeling software company behind Leapfrog. Competes in the same mining and petroleum geostatistics workflow space, embedding industry-standard geostatistical methods into commercial products similar to those CCG teaches and develops.
- Geovariances: Geostatistics-focused consulting and software firm serving mining, petroleum, and environmental clients. Closely comparable as a specialized geostatistics practitioner offering applied modeling, training, and software similar to CCG's outputs.
- Maptek: Global mining software and technology vendor. Maptek is both a CCG member and a comparator, providing commercial geological modeling and resource estimation software that competes with and incorporates CCG-developed geostatistical methods.
- Datamine: Provider of mining and geological modeling software used by CCG's mining company members. Competes with CCG in resource estimation workflows and is a target for placement of CCG-trained alumni.
- Resource Modeling Solutions (RMS): Geostatistical modeling services and training partner that runs joint short courses with CCG. Directly overlapping in mining geostatistics consulting and practitioner education offerings.
- Optiro (Snowden Optiro): Mining-focused geological and resource consulting firm. Directly comparable as a geostatistics and resource estimation service provider selling expertise into the same mining majors that CCG serves via its consortium.
Broad incumbents
- CSA Global (now ERM): International geological and mining consultancy providing resource estimation and due diligence services. Overlaps with CCG in applied geostatistical resource modeling for major mining clients.
- SRK Consulting: Global mining consulting firm offering resource estimation among a broad portfolio of geoscience and engineering services. Competes for mining majors' consulting budgets and a frequent employer of CCG alumni.
Emerging players
- University of Adelaide Centre for Tectonics, Resources and Exploration (TRaX): University of Adelaide's industry-partnered research centre covering mineral exploration and resource modeling. Comparable in operating model and academic-industry consortium structure to CCG.
- Stanford Center for Reservoir Forecasting: Stanford-based industry-affiliates research program in reservoir geostatistics. Closest academic peer to CCG with a similar industry-sponsored model and historical lineage through Dr. Deutsch's prior affiliation.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Centre for Computational Geostatistics (CCG) social profiles
Digital presenceCentre for Computational Geostatistics (CCG) financial estimates
Financial estimateRevenue estimate
Valuation estimate
Centre for Computational Geostatistics (CCG) leadership team
Management profileNumber of profiles
Profiles2 records
Centre for Computational Geostatistics (CCG) funding detail
Funding detailFunding overview
Funding rounds
Investors
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Centre for Computational Geostatistics (CCG) M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about Centre for Computational Geostatistics (CCG)
What does Centre for Computational Geostatistics (CCG) do?
CCG is an applied research group and industry consortium at the University of Alberta that delivers specialized geostatistical software, training programs (Citation Program, Fundamentals, Advanced and SAGD short courses), and an annual research meeting. Supporting companies pay membership fees to access proprietary geostatistical software, thousands of technical papers, training images, faculty expertise, and preferential recruitment access to graduate students.
Is Centre for Computational Geostatistics (CCG) a public or private company?
Centre for Computational Geostatistics (CCG) is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Centre for Computational Geostatistics (CCG) founded?
Centre for Computational Geostatistics (CCG) was founded in 1998. It employs 1 to 10 people.
Where is Centre for Computational Geostatistics (CCG) based?
Centre for Computational Geostatistics (CCG) is headquartered in Edmonton, Canada, in the North America region.
How does Centre for Computational Geostatistics (CCG) make money?
One revenue line is on record: industry Membership Fees.
Who are Centre for Computational Geostatistics (CCG)'s main competitors?
Direct peers on record are Seequent (Leapfrog), Geovariances, Maptek, Datamine, Resource Modeling Solutions (RMS) and Optiro (Snowden Optiro). Broad incumbents are CSA Global (now ERM) and SRK Consulting. Emerging players are University of Adelaide Centre for Tectonics, Resources and Exploration (TRaX) and Stanford Center for Reservoir Forecasting.
Does Centre for Computational Geostatistics (CCG) have an API?
No public API is recorded for Centre for Computational Geostatistics (CCG).