Industrial AI for Energy Operations | Data Scientist | Completions & Well Intervention Engineer | Author
Industrial AI for Energy Operations. I combine 17+ years of completions and well intervention experience with an MSc in Data Science to build AI systems that turn operational reports and engineering knowledge into traceable, evidence-backed decision support — built for the constraints of real drilling and completions operations, not generic machine learning demos.
Building Industrial RAG Systems from Daily Drilling Reports
A free, hands-on book teaching engineers to build retrieval-augmented generation (RAG) systems directly on Daily Drilling Reports. Written to help fellow drilling and completions engineers apply these methods to their own reports and workflows, not as a commercial product — an extension of the same operational intelligence work behind the DDR Intelligence Platform below. It covers:
- AI applications for Daily Drilling Reports
- Retrieval-augmented generation (RAG), from keyword search through hybrid retrieval
- Engineering knowledge extraction from unstructured operational text
- Traceable, evidence-backed AI systems — every generated answer cites its source
- Lessons-learned extraction from historical reports
- Human-in-the-loop workflows for engineering review
- Practical implementation for drilling and completions operations, grounded in a real, public well archive
- 🛢️ Field operations: 17+ years in Completions, Well Intervention, Sand Control, Hydraulic Fracturing, and Production Enhancement, across multiple countries and operators
- 🎓 Data science: MSc Data Science, applied to engineering and operational problems rather than generic modelling exercises
- 🤖 Industrial AI: building AI-powered operational intelligence systems — RAG, hybrid search, knowledge extraction — for engineering workflows
- ✍️ Technical author: published on applying RAG and AI to drilling operations (see 📖 Author above)
AI-powered operational intelligence platform that transforms Daily Drilling Reports into structured engineering knowledge — semantic search, well similarity analysis, operational sequence mining, NPT precursor analysis, lessons-learned extraction, and traceable, evidence-backed recommendations.
MSc Thesis — EvidenceRAG-Evaluation
Evaluating hybrid retrieval (BM25 + dense + Reciprocal Rank Fusion) for grounded question answering over long-form reports, with a reproducible retrieval evaluation harness and a hallucination-reduction focus.
Converts completion and hydraulic fracturing spreadsheets into searchable operational intelligence — automated ingestion, NLP-based engineering comment analysis, delay/failure analysis, and fleet performance benchmarking.
- Languages: Python · R · SQL
- AI & Retrieval: RAG · FAISS · Hybrid Search (BM25 + Dense) · LLM Evaluation
- Data Science: pandas · NumPy · scikit-learn · Statistical & Time Series Analysis
- Platforms: Dataiku · Streamlit · Quarto · Jupyter
- Tooling: Git · GitHub · PyCharm
| Project | Description | Access |
|---|---|---|
| EvidenceRAG-Evaluation | Hybrid dense + BM25 retrieval-augmented generation pipeline with a reproducible evaluation harness, built on PDF annual reports (MSc thesis project) | Public |
| Frac_Campaign_Planning | Monte Carlo simulator for multi-pad hydraulic fracturing campaign planning, scheduling, risk, and scenario optimisation | Public |
| GP_Screens_Analysis | Computer vision pipeline for detecting, classifying, and quantifying failure modes on failed gravel pack screens | Public |
| DDR Intelligence Platform | AI-powered drilling report analytics, sequence mining, operational intelligence, and risk detection | Private — available on request |
| Completion Campaign Intelligence | NLP-driven intelligence platform for completion and stimulation campaigns | Private — available on request |
| CCS Well Integrity Intelligence | Data-informed risk assessment and intervention planning for CCS wells | Private — available on request |
Oil & Gas: Well Intervention · Completions Engineering · Sand Control · Hydraulic Fracturing · Artificial Lift · Workovers · Well Integrity · Decommissioning · CCS Wells
Data Science & AI: Machine Learning · Predictive Modelling · Time Series Analysis · Retrieval-Augmented Generation · Hybrid Search · Knowledge Extraction · Information Retrieval · Operational Analytics
- 💼 LinkedIn: https://www.linkedin.com/in/djimra-stephane-soulanoudjingar-3078a055
- 📧 stephane.djimra@gmail.com
- 🌍 Scotland, United Kingdom
Industrial AI for energy operations — turning field experience and engineering reports into traceable, evidence-backed intelligence.