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SPE Reservoir Simulation Conference
25–27 March 2025 | Galveston Island Convention Center | Galveston, TX

Industry Insights

SPE Reservoir Simulation Conference

Industry Insights

Discover the latest news, resources, shared expertise for reservoir professionals.

Ahead of attending this exciting conference, make sure you stay up to date with the latest industry insights across the oil and gas industry.

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Featured JPT Reservoir Articles

Simulation grid for a two-well RGNet model. 

Physics-Informed Deep-Learning Models Improve Forecast Scalability, Reliability

This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting.

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Fig. 1—Full-field model and wellbore model coupling. The top plot is the full-field reservoir model with 12 wells; the bottom plot is the detailed half-well model. A full-field model can be coupled with multiple wellbore models. 

Data-Analytics-Driven Sectorization Review Enables Efficient Reservoir Management

This paper discusses the approach used to sectorize a mature giant carbonate reservoir located onshore Abu Dhabi for the purposes of reservoir management, offtake, and injection balancing

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MS Conceptual reactive rock reservoir model populated with the heterogeneous permeability values (10 – 100 mD), cylindrical view.

Production-Enhancement-Candidate Screening Powered by ML Unlocks Brownfield Potential

This paper presents the processes of identifying production enhancement opportunities, as well as the methodology used to identify underperforming candidates and analyze well-integrity issues, in a brownfield offshore Malaysia.

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Latest News on Reservoir

Elastic Dislocation Modeling Helps Identify Subseismic Natural Fractures

Elastic Dislocation Modeling Helps Identify Subseismic Natural Fractures

The main goal of this research work was to determine subseismic faults and fracture corridors and their characteristics, including density and orientation, for a Paleocene fractured carbonate reservoir.

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Complex Fracture Network in Shale Gas Reservoir Derived From Microseismic Data

Complex Fracture Network in Shale Gas Reservoir Derived From Microseismic Data

In this paper, an energy-based 3D fracture-reconstruction method is proposed to derive the complex fracture network from microseismic data in a shale gas reservoir.

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Machine Learning Enables Data-Driven Predictions of CO₂ EOR Numerical Studies

Machine Learning Enables Data-Driven Predictions of CO₂ EOR Numerical Studies

The authors present an open-source framework for the development and evaluation of machine-learning-assisted data-driven models of CO₂ enhanced oil recovery processes to predict oil production and CO₂ retention.

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Reservoir Simulation Training Course

Upon completion of this module, the participant should be able to define reservoir simulation objectives, define simulator geometry and dimensions, and assign flow equations to the proposed model, define simulator grid and boundary conditions, compile reservoir model input parameters, develop finite-difference approximations to solve the flow equations, plan numerical simulation computer runs and interpret the results, and use simulation results to determine the optimum exploitation scheme.

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