Reservoir
The US upstream sector began 2024 with $51 billion in mergers and acquisitions though Enverus outlines why the dealmaking may slow down.
The index integrates three independent components extracted from static and dynamic parameters: reservoir permeability thickness, movable gas, and reservoir pressure from a historically matched dynamic model.
Oil production from thin-oil-rim fields can be a challenge considering early gas breakthrough and high gas/oil ratio. This study evaluates the performance of autonomous inflow control valves (in comparison with inflow control devices and sand screens) and their effectiveness in improved oil recovery in such fields.
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Samsung E&A takes home $6 billion of the total amount as EPC contractor. -
As the biggest US companies grow bigger, the advantage of scale becomes clearer.
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A 44-well development tests what ConocoPhillips has learned about maximizing the value of the wells by figuring out how they drain the reservoir.
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The authors of this paper propose a hybrid approach that combines physics with data-driven approaches for efficient and accurate forecasting of the performance of unconventional wells under codevelopment.
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The physical characteristics of heavy oil and the formations in which it is found are often unique to a region or even to a specific asset, so recovery techniques must be tuned, adapted, and sometimes invented for each region. Creative professionals around the world are taking up this challenge and sharing their work with us in a wealth of excellent recent publication…
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This paper describes a full-field and near-wellbore poromechanics coupling scheme used to model productivity-index degradation against time.
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This paper develops a deep-learning work flow that can predict the changes in carbon dioxide mineralization over time and space in saline aquifers, offering a more-efficient approach compared with traditional physics-based simulations.
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This paper explains how an operator’s projects in the Vaca Muerta have become more-efficient and cost-effective by increasing production and reducing well-delivery-cycle time while fostering the long-term sustainability of the project.
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This year’s history matching and forecasting selections cover a deep-learning framework to forecast spatial/temporal dynamics of CO2 mineralization in reactive rocks, productivity decline analysis using coupled full-field and near-wellbore poromechanics modeling, and a reservoir graph network model for multiwell forecasting in unconventional reservoirs.
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This paper describes the potential, challenges, and opportunities of using a modified steam-assisted gravity drainage configuration in the Mukhaizna heavy oil field in suboptimal operating conditions.
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