List of CMG Results Customers
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Since 2010, our global team of researchers has been studying CMG Results customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased CMG Results for Mesh Generation and Analysis from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using CMG Results for Mesh Generation and Analysis include: Oil And Natural Gas Corporation India, a India based Oil, Gas and Chemicals organisation with 24378 employees and revenues of $74.50 billion, Pertamina, a Indonesia based Oil, Gas and Chemicals organisation with 13500 employees and revenues of $41.00 billion, Intevep, S.A., a Venezuela based Oil, Gas and Chemicals organisation with 2000 employees and revenues of $3.00 billion and many others.
Contact us if you need a completed and verified list of companies using CMG Results, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Intevep, S.A. | Oil, Gas and Chemicals | 2000 | $3.0B | Venezuela | Computer Modeling Group | CMG Results | Mesh Generation and Analysis | 2020 | n/a |
In 2020, Intevep, S.A. implemented CMG Results as part of a Mesh Generation and Analysis capability to support reservoir simulation post processing and mesh evaluation workflows. CMG Results was deployed to centralize mesh inspection, result interrogation, and visualization tasks used by reservoir engineering and simulation teams.
The implementation emphasized post processing and mesh analysis functionality, with use cases inferred from vendor consulting work on steam injection and pilot design scenarios. Delivered capabilities included mesh quality assessment, scalar field visualization, and field level sensitivity analysis workflows that enable interrogation of simulation outputs and design alternatives.
CMG consultants documented work on Petromonagas assets in Venezuela to analyse steam injection and pilot designs, and the CMG Results implementation was used to produce field level sensitivity analysis and recommendations. These analysis outputs were consumed by reservoir engineering, field planning, and operations groups to inform pilot testing and operational decisions.
Operational governance focused on embedding CMG Results into simulation led field planning cycles and post processing review gates, aligning mesh analysis outputs with pilot test decision points. The narrative of use centers on CMG Results providing mesh based post processing and analysis to support simulation driven pilot design and operational decision making.
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Oil And Natural Gas Corporation India | Oil, Gas and Chemicals | 24378 | $74.5B | India | Computer Modeling Group | CMG Results | Mesh Generation and Analysis | 1992 | n/a |
In 1992, Oil And Natural Gas Corporation India began using Computer Modeling Group simulation software through its Institute of Reservoir Studies. ONGC has employed CMG Results within Mesh Generation and Analysis workflows to support reservoir modelling and history matching across its subsurface engineering activities.
The implementation centers on CMG Results for post-processing and mesh analysis, providing simulation grid interrogation, property mapping and visualization to support iterative history matching and reservoir property evaluation. CMG Results is used to generate volumetric summaries and visualization deliverables that feed reservoir engineering decision workflows.
The CMG Results deployment is tightly coupled with CMG simulator driven workflows used by reservoir engineers at the Institute of Reservoir Studies, enabling end to end reservoir simulation, calibration and interpretation. During the 2020 lockdowns CMG supported remote access to CMG Results and ONGC used that capability to avoid project delays, maintaining continuity of simulation post-processing and review cycles.
Governance is institute level, with standardized post-processing and history matching practices applied across reservoir engineering teams in India, and the vendor testimonial supports inferred module level usage of CMG Results within ONGC simulation workflows. The long running adoption since 1992 indicates entrenched mesh generation and analysis practices embedded in ONGC subsurface modelling functions.
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Pertamina | Oil, Gas and Chemicals | 13500 | $41.0B | Indonesia | Computer Modeling Group | CMG Results | Mesh Generation and Analysis | 2019 | n/a |
Pertamina implemented CMG Results in 2019 for Mesh Generation and Analysis. The deployment targeted Pertamina PHR engineering teams in Indonesia that were already using CMG simulation tools CMOST and STARS for reservoir modelling, optimization and EOR studies, positioning CMG Results as the mesh and visual analysis component of the CMG simulation suite.
CMG Results was configured to support mesh visualization and quality assessment workflows typical of the Mesh Generation and Analysis category, including volumetric slicing, mesh attribute inspection, and large-model rendering to assist reservoir grid review and debugging. The implementation aligned CMG Results outputs with CMOST and STARS simulation results to streamline post processing and to enable engineers to move from simulation runs to mesh-level analysis without manual translation of grids or attributes.
Operational rollout emphasized integration into reservoir engineering and simulation QA workflows, with CMG Results used during history matching and EOR study cycles. Pertamina engineers reported improved history matching and faster simulation workflow analysis, and testimonial notes indicated large-model performance and analysis improvements after embedding CMG Results into their CMG-based modelling toolchain.
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