Limited data and uncertain reservoir behavior can make oil and gas production plans difficult to compare.
Use PetroAI to examine reservoir conditions and compare the assumptions behind your operating choices.
Science-informed machine learning combines your site data with physical models to estimate oil and gas extraction.
Investigate how rock deformation and other geomechanical processes affect reservoir behavior.
Review uncertainty in model parameters and predictions when assessing production options.
Identify which inputs matter most and use that evidence to inform production and operating decisions.
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Explore related demos
Try interactive public demos that bring these ideas to life.
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Energy Production & Storage
Explore how science-informed models can compare energy production and storage strategies.
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3D Geo Modeling
View wells, terrain, and subsurface context in an interactive 3D scene.
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Model Diagnostics
Calibrate a model and identify influential, uncertain, or poorly constrained inputs.
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Related publications
- A Continuous Projection-Based EDFM Model for Flow in Fractured Reservoirs (2024) — Harun U. Rashid, Olufemi Olorode — SPE Journal
- Numerical and Experimental Studies of Coupled THM Processes in Fractured Tight Rocks (2023) — A. Abdullah, H. U. Rashid, O. M. Olorode — 57th U.S. Rock Mechanics/Geomechanics Symposium
- An iteratively coupled model for flow, deformation, and fracture propagation in fractured unconventional reservoirs (2022) — Harun Rashid, Olufemi Olorode, Chukwudi Chukwudozie — Journal of Petroleum Science and Engineering
- Analytical modification of EDFM for transient flow in tight rocks (2022) — Olufemi Olorode, Harun Rashid — Scientific Reports
- Machine-Learning Predictions of the Shale Wells’ Performance (2021) — M. Mehana et al. — Journal of Natural Gas Science and Engineering
- Numerical Modeling of Fractured Unconventional Oil (2021) — Olufemi Olorode, Bin Wang, Harun Ur Rashid — Advanced Modeling with the MATLAB Reservoir Simulation Toolbox
- The Role of Diffusion in Primary and Enhanced Oil Recovery from Fractured Unconventional Reservoirs (2021) — Olufemi Olorode, Hassan Amer, Harun Rashid — Asia Pacific Unconventional Resources Technology Conference 2021
- Three-Dimensional Projection-Based Embedded Discrete-Fracture Model for Compositional Simulation of Fractured Reservoirs (2020) — Olufemi Olorode, Bin Wang, Harun Ur Rashid — SPE Journal
- Two-Stage Fracturing Wastewater Management in Shale Gas Development (2017) — X. Zhang et al. — Ind. Eng. Chem. Res.
Related presentations
- Predicting oil and gas production from unconventional tight-rock reservoirs using machine learning (2020) — V.V. Vesselinov — XXIII International Conference on Computational Methods in Water Resources (CMWR)
- Unsupervised and Physics-Informed Machine Learning Analyses for Characterization of Energy Production from Unconventional Reservoirs (2020) — V.V. Vesselinov — Machine Learning in Oil & Gas Conference
- Machine learning analyses for characterization of oil, gas and water production from unconventional tight-rock reservoirs (2019) — V.V. Vesselinov — AGU Fall Meeting