AI-Driven Software Solutions for Enhanced Operations:

Our suite of AI-powered software tools addresses key challenges and optimizes various processes in the energy sector. Each tool leverages advanced algorithms, providing real-time insights, streamlining operations, and supporting effective decision-making. Additionally, our team is capable of developing new, customized software packages tailored to meet specific client needs.

1. ST-Drill (Real-Time Monitoring and Drilling Optimization)
   • Description: A comprehensive tool that optimizes drilling operations by analyzing drilling parameters in real-time. It provides actionable insights to maximize the rate of penetration (ROP) and improve operational efficiency.
   • Examples:
     • Real-time monitoring of drilling fluid rheology to ensure optimal performance.
     • ROP optimization using dynamic drilling parameters.
     • Predicting drilling incidents, such as drill string vibrations, to prevent operational issues.
2. ST-FormEval (Reservoir Characterization)
   • Description: An advanced solution for evaluating reservoir properties, providing detailed analysis of subsurface formations. It assists in making informed decisions for reservoir management and production strategies.
   • Examples:
     • Characterizing reservoir porosity and permeability using synthetic well logs.
     • Identifying fluid saturation levels for accurate reservoir evaluation.
     • Supporting formation evaluation to optimize well placement and production planning.
3. ST-GeoMech (Wellbore Stability and Geomechanical Analysis)
   • Description: This software focuses on predicting and analyzing geomechanical properties to ensure wellbore stability. It offers guidance for optimal drilling fluid design and minimizes risks during drilling operations.
   • Examples:
     • Predicting unconfined compressive strength (UCS) to assess wellbore stability.
     • Analyzing stress and deformation within the formation to guide safe drilling practices.
     • Optimizing mud weight design based on geomechanical properties to prevent wellbore collapse.
4. ST-Log (Synthetic Well-Log Generation)
   • Description: A tool that utilizes AI to generate synthetic well logs, offering a comprehensive analysis of subsurface formations. This capability supports reservoir evaluation and aids in optimizing drilling and production plans.
   • Examples:
     • Generating synthetic gamma-ray logs to assist in formation lithology identification.
     • Providing real-time estimates of well log parameters during drilling operations.
     • Enhancing reservoir characterization through synthetic density and sonic log generation.
5. ST-PRO (Production Optimization)
   • Description: An AI-driven platform that optimizes production processes by analyzing operational data. It assists in enhancing resource management and streamlining production strategies to maximize output.
   • Examples:
     • Predicting production rates to optimize resource allocation.
     • Identifying bottlenecks in production processes and suggesting operational adjustments.
     • Optimizing artificial lift systems to enhance oil recovery and maintain production efficiency.
6. ST-PVT (PVT Data Prediction)
   • Description: This software provides accurate predictions of Pressure-Volume-Temperature (PVT) properties of reservoir fluids, facilitating production planning and reservoir management for optimized recovery efforts.
   • Examples:
     • Predicting fluid behavior under varying pressure and temperature conditions.
     • Assisting in the design of surface facilities based on PVT data analysis.
     • Enhancing reservoir simulations with accurate PVT properties for better recovery strategies.