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Centre for Computational Geostatistics (CCG)

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uuid0043nqj

Namestring
Centre for Computational Geostatistics (CCG)
Legal namestring
Centre for Computational Geostatistics
Websiteurl
ccgalberta.com
Company typeenum
Private
Founded yearint
1998
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersEdmonton, Canada
HQ citystring
Edmonton
HQ countrystring
Canada
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
geostatistical modeling, mineral resource estimation, reservoir characterization, uncertainty quantification, geostatistics education
NAICS code3 codes
  • Other Scientific and Technical Consulting Services54169
  • Computer Training611420
  • Educational Support Services611710
SIC code2 codes
  • Services-Educational Services8200
  • Services-Engineering Services8711
Product category
Geostatistical Research and Education Services
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1Industry Membership Fees
TypeSubscription Recurring
Description

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.

ccgalberta.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Others
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 2 values shown
  • Produced over 70 graduate alumni (34 PhD, 37 MSc)
+1 more record
Product overview1 text field

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.

Product and service9 records
1CCG Membership
CategoryMembership Program
Description

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.

2CCG Knowledge Base
CategoryResearch Resources / Software Repository
Description

Online repository providing CCG members access to specialized geostatistical software programs, technical papers, course materials, guidebooks, monographs, training images and other research resources.

3CCG Server
CategorySoftware / Computing Infrastructure
Description

Centralized computing server providing CCG members access to specialized geostatistical software and computational resources for modeling heterogeneity and uncertainty.

4Citation Program in Applied Geostatistics
CategoryProfessional Training Program
Description

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.

5Fundamentals of Geostatistics Short Course
CategoryProfessional Training Course
Description

Professional development course for those seeking greater understanding of the role of geostatistics in resource characterization, forecasting and management.

6Advanced Geostatistics Short Course
CategoryProfessional Training Course
Description

CSPG-certified course for novice and experienced geomodelers interested in latest developments in geostatistics, held in Calgary, Alberta.

7SAGD Reservoir Characterization Short Course
CategoryProfessional Training Course
Description

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.

8Annual CCG Meeting
CategoryConference / Research Event
Description

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.

9Joint CCG/RMS Short Courses
CategoryProfessional Training Course
Description

Remote educational courses on geostatistical modeling offered in partnership with Resource Modeling Solutions, expanding the geographic reach of CCG training.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership15 partners
Strategic tierCoreTypeOthers
Description

Research partner and member company in CCG industry consortium. Maptek provides technology solutions for mining and participates in collaborative geostatistical research.

Strategic tierCoreTypeOthers
Description

Major gold mining company and founding member of CCG consortium. Newmont participates in research projects and recruits graduate students from CCG.

Strategic tierCoreTypeOthers
Description

Major Canadian mining company and CCG member. Teck contributes to and benefits from geostatistical research and student recruitment.

Strategic tierCoreTypeOthers
Description

World's largest gold mining company and CCG member participating in geostatistical research initiatives.

Strategic tierCoreTypeOthers
Description

Global mining corporation and CCG member supporting geostatistical research and education.

Strategic tierCoreTypeOthers
Description

Energy technology division of Chevron participating in CCG research for petroleum reservoir geostatistics.

Strategic tierCoreTypeOthers
Description

Major copper and gold mining company and CCG member.

Strategic tierCoreTypeOthers
Description

Global gold mining company and CCG member company.

Strategic tierCoreTypeOthers
Description

Large gold mining operation and CCG member.

Strategic tierCoreTypeOthers
Description

Brazilian national petroleum company and CCG member focused on reservoir modeling research.

Strategic tierCoreTypeOthers
Description

Global mining group and CCG member supporting geostatistical research.

Strategic tierCoreTypeOthers
Description

Brazilian multinational mining corporation and CCG member.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Partnership for joint CCG/RMS Short Courses. RMS offers geostatistical modeling courses in partnership with CCG, providing remote educational courses on geostatistical modelling.

Strategic tierCoreTypeOthers
Description

Host institution providing academic infrastructure, faculty positions, and research framework. The CCG operates within the School of Mining and Petroleum Engineering.

15Canadian Society for Petroleum Geologists (CSPG)
Strategic tierMinorTypeOthers
Description

CSPG partners with CCG to offer professional short courses on geostatistics and reservoir characterization.

ccgalberta.com
Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeBroad incumbent
Description

International geological and mining consultancy providing resource estimation and due diligence services. Overlaps with CCG in applied geostatistical resource modeling for major mining clients.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeEmerging player
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

Geostatistical modeling services and training partner that runs joint short courses with CCG. Directly overlapping in mining geostatistics consulting and practitioner education offerings.

TypeDirect peer
Description

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.

TypeEmerging player
Description

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

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers12 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
No
API detail
Has APIbool
No

Docs URL, Description

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Centre for Computational Geostatistics (CCG)

Geostatistical Research and Education Servicesccgalberta.com

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.

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

Location

Headquarters

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

  1. 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 offering

Core 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 profile

Named customers12 records

Segments4 records

Ideal customer profiles4 records

Centre for Computational Geostatistics (CCG) technology and API

Technology

Technology 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 signal

Partnerships

15 partnerships are on record, tiered core and minor.

  • Maptek SudaméricacoreOthersResearch partner and member company in CCG industry consortium. Maptek provides technology solutions for mining and participates in collaborative geostatistical research.
  • Newmont Mining CorporationcoreOthersMajor gold mining company and founding member of CCG consortium. Newmont participates in research projects and recruits graduate students from CCG.
  • Teck Resources LimitedcoreOthersMajor Canadian mining company and CCG member. Teck contributes to and benefits from geostatistical research and student recruitment.
  • Barrick Gold CorporationcoreOthersWorld's largest gold mining company and CCG member participating in geostatistical research initiatives.
  • BHPcoreOthersGlobal mining corporation and CCG member supporting geostatistical research and education.
  • Chevron Energy TechnologycoreOthersEnergy technology division of Chevron participating in CCG research for petroleum reservoir geostatistics.
  • Freeport-McMorancoreOthersMajor copper and gold mining company and CCG member.
  • GoldFields LimitedcoreOthersGlobal gold mining company and CCG member company.
  • Nevada Gold MinescoreOthersLarge gold mining operation and CCG member.
  • PetrobrascoreOthersBrazilian national petroleum company and CCG member focused on reservoir modeling research.
  • Rio Tinto LimitedcoreOthersGlobal mining group and CCG member supporting geostatistical research.
  • ValecoreOthersBrazilian multinational mining corporation and CCG member.
  • Resource Modeling Solutions (RMS)coreStrategic or Co-development PartnerPartnership for joint CCG/RMS Short Courses. RMS offers geostatistical modeling courses in partnership with CCG, providing remote educational courses on geostatistical modelling.
  • University of AlbertacoreOthersHost 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)minorOthersCSPG 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 assessment

Direct 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

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 presence

Centre for Computational Geostatistics (CCG) financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Centre for Computational Geostatistics (CCG) leadership team

Management profile

Number of profiles

Profiles2 records

Centre for Computational Geostatistics (CCG) funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Centre for Computational Geostatistics (CCG) M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

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).

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