Job Listing application

I designed and led the development of SCAP Predictive Engine, an advanced AI-driven drilling operations intelligence platform used in the Oil & Gas sector. The system processes Daily Drilling Reports (DDR), real-time operational data, and historical well records to deliver automated insights, risk predictions, and actionable recommendations that significantly reduce Non-Productive Time (NPT) and enhance well integrity.

Key Features Demonstrated:

Intelligent Chat Assistant & Well Analysis: Users can query well data in natural language (e.g., “What are the casing details of this well?”). The AI instantly extracts and presents accurate casing strings, diameters, depths, phases, and barrier information.

Automated DDR Extraction & Visualization: OCR-powered pipeline extracts structured data from raw DDR files and displays it in clean tables (casing connection, grade, size, weight, depth, FIT/LOT, etc.).

Well Construction & Casing Management: Interactive interface for configuring and validating multi-string casing programs with automated integrity checks.

AI Job Program Generation: Fully automated generation of detailed coiled tubing and drilling job programs with version control, approvals, and stakeholder contacts.

Configurable AI Scanners: Real-time monitoring modules including DDR Extraction Scanner, Job Program Generation Scanner, NPT Analysis, Annulus Prediction, Well Schematic Scanner, Cement Operations Analysis, and more – powered by multiple LLM models (Gemini + GPT series).

Annulus Pressure Intelligence: Auto-generated executive summaries with pressure trend analysis, SAP (Sustained Annulus Pressure) detection, stability status, and future pressure predictions using time-series forecasting.

NPT Hidden Intelligence: Daily summary reports with root-cause analysis, stacked charts showing Productive Time vs. NPT vs. Waiting/Other, and AI recommendations to prevent recurring delays (weather, equipment, personnel failure, etc.).

Cementing Operations Analysis: Detailed evaluation of cement jobs with predictive risk scoring and comparison to historical field outcomes.

Well Integrity Barrier Schematic: Interactive visual and tabular representation of all well barriers (conductor, surface, intermediate, production casing, tubing, packers, DHSV) with roles (Primary/Secondary/Tertiary), depths, and integrity status.

Proactive Risk Alerts & Executive AI Insights: Real-time risk detection, historical pattern analysis, and prioritized recommendations (proactive + reactive) with estimated time/cost savings.

Technologies & Impact:

Built with Python, XGBoost, Random Forest, Isolation Forest, React, Angular, Laravel/Node.js backend, secure APIs, and multiple LLM providers. The platform transforms raw drilling data into real-time decision support, improves operational safety, reduces NPT, and provides predictive analytics for mission-critical wells.

This is a live, production-grade system currently used for large-scale drilling analytics in the Oil & Gas industry.