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Seyed Kourosh Mahjour

@seyedkouroshmahjour

Regulatory and reservoir engineer at the Railroad Commission of Texas who built its first permit conditions compliance tracker.

United States

Message

At the Railroad Commission of Texas, I built the Commission’s first UIC Special Conditions Compliance Tracker, covering 87,955 condition records across 29,623 injection and disposal wells. I also integrate agency data sources into a daily refresh and screen wells for induced seismicity review.

For Class VI CO2 storage permits, I designed Containment, a Python tool for area of review delineation, corrective action screening, and post-injection site care evaluation. My work also includes reservoir simulation and machine learning for subsurface uncertainty, alongside 22 peer-reviewed journal articles and research funding as PI and Senior Personnel.

Experience

Work history, roles, and key accomplishments

Current

Engineering Specialist VI (Senior)

Current

Railroad Commission of Texas

Sep 2026 - Present (2 months)

Designed and delivered the UIC Special Conditions Compliance Tracker, covering 87,955 condition records on 29,623 injection and disposal wells. Integrated 10+ agency data sources and mapped enforcement processes for overdue permit conditions.

Utility Permitting Compliance Tracking Data Integration SQL Oracle Python Enforcement Mapping Induced Seismicity Review

Engineering Specialist IV

Railroad Commission of Texas

Jul 2024 - Oct 2025 (1 year 3 months)

Oversaw 25,000+ gas flaring and venting exceptions, cutting gas waste by 15% and boosting compliance by 20%. Processed 2,500 exception applications quarterly with a 95% first-pass approval rate.

Flaring Venting Regulatory Compliance Exception Handling Technical guidance Stakeholder Management

Senior Research Scientist (Principal Investigator)

Texas Institute for Applied Environmental Research

Jul 2023 - Jun 2024 (11 months)

Secured a $50,000 grant as PI designing MODFLOW groundwater flow models, reducing contamination risks by 30% over 100 square km. Developed a Bayesian neural network improving prediction error by 27.6% for carbon storage predictions.

Modflow Groundwater Modeling Bayesian Neural Networks Carbon Sequestration Grant writing QA&QC

Postdoctoral Research Fellow

Texas State University

Jul 2022 - Jun 2023 (11 months)

Devised an unsupervised machine learning framework selecting 5 representative geological realizations from 25, reducing simulation complexity by 80%. Served as Senior Personnel on 3 DOE and ACS grants totaling $500,000+.

Machine Learning Unsupervised Learning Reservoir Simulation Geological Realizations DOE Grants ACS Grants

Reservoir Research Engineer

Universidade Estadual de Campinas

Aug 2016 - Jun 2022 (5 years 10 months)

Optimized well placement on the UNISIM-II-D benchmark reservoir model with an expected monetary value of $2.52 billion, reducing compute time by 19%. Reduced 200 reservoir models to 18 representative models using Latin hypercube sampling and clustering.

Reservoir Simulation Well Placement UniSim II D Latin Hypercube Sampling Multidimensional Scaling (MDS)Clustering Optimization