Jalil Latrach

PhD Student · Energy & Petroleum Engineering

University of Wyoming

I am a PhD student at the University of Wyoming working on geological carbon storage, geochemistry, unconventional oil and gas resources, and machine learning applications in subsurface energy systems.

Education

MEng, Petroleum Engineering University of North Dakota 2021–2022

PhD, Energy & Petroleum Engineering University of Wyoming 2022–present

Research Interests

Geological carbon storage & CO₂ geochemistry
Rock physics modeling (DEM, Gassmann)
Seismic monitoring & CO₂ detectability
Unconventional oil & gas resources
Physics-informed machine learning
Agentic AI for subsurface geoscience

Publications

A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems

Abdeldjalil Latrach, Mohamed Malki, Misael Morales, Mohamed Mehana, Minou Rabiei

Geoenergy Science and Engineering · Elsevier · August 2024

73 citations BibTeX APA MLA

Enhanced Prediction of CO₂ Solubility under Geological Conditions for CCUS via Improved Pitzer Parameters and Physics-Informed Machine Learning

Abdeldjalil Latrach, Lily Jackson, Minou Rabiei

arXiv · August 2025

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Class VI Database project: Drill-stem test data from Sweetwater County, Wyoming, USA

Abdeldjalil Latrach, Lily J. Jackson, Christian Martinez

Data in Brief · Elsevier · August 2025

0 citations BibTeX APA MLA

Identification and Quantification of the Effect of Fracture-Driven Interactions on Production from Parent and Child Wells in Williston Basin

Abdeldjalil Latrach, Ahmed Merzoug, Cilia Abdelhamid, Ilyas Mellal, Minou Rabiei

Unconventional Resources Technology Conference · SPE/AAPG/SEG · June 2023

3 citations BibTeX APA MLA

Feasibility of Repurposing Oil and Gas Wells for Geothermal Energy Production in Wyoming, USA

Abdeldjalil Latrach, Abdesselem Dehdouh, Cilia Abdelhamid, Ilyas Mellal, Minou Rabiei

Rock Mechanics/Geomechanics Symposium · ARMA · June 2024

2 citations BibTeX APA MLA

Formation Evaluation Challenges of Tight and Shale Reservoirs. A Case Study of the Bakken Petroleum System

Ilyas Mellal, Vamegh Rasouli, Abdesselem Dehdouh, Abdeldjalil Latrach, Cilia Abdelhamid, Mohamed Malki, Omar Bakelli

Rock Mechanics/Geomechanics Symposium · ARMA · June 2023

7 citations BibTeX APA MLA

Novel Approach for Elastic Anisotropy Assessment in Organic-Rich Shales: A Case Study from Early-Mature Region of the Bakken Formation

Mohamed Malki, Vamegh Rasouli, Abdeldjalil Latrach, Ilyas Mellal, Billel Sennaoui, Hichem AK Chellal, Anis Larbi

Rock Mechanics/Geomechanics Symposium · ARMA · June 2023

1 citation BibTeX APA MLA

Projects

BladeStim

Python Qt

BladeStim, developed for Blade Energy Partners, is a multi-modular platform for data analyses and calculations related to completion and stimulation of hydraulically fractured oil and gas wells—including step-rate analyses and unified fracture design. It provides a streamlined workflow to import, clean, and process raw field data for visualization, analysis, and export.

Wyoming Class VI Site Characterization Database

Python ArcGIS

A collaboration between the University of Wyoming, the Wyoming State Geological Survey, and the Wyoming Department of Environmental Quality to develop a geologic site characterization database compiled from public databases and scientific literature—aimed at expediting Class VI CO₂ injection well permitting in Sweetwater County within the Greater Green River Basin.

Carbonex coming soon

Python Machine learning Geochemical modeling

A web-based platform for high-accuracy estimation of CO₂ solubility in multi-salt brines across a wide range of pressures, temperatures, and salinities. Carbonex uses a physics-informed neural network trained on simulation data and fine-tuned on experimental data with a modified physics-enforcing loss function.