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Consultations & AI solutions

Welcome to the Challenge tab! Here, industry professionals can share the challenges they face in the Oil & Gas sector.

Explore the innovative solutions OPA Energy's consultants have implemented to tackle these issues. Join our community, share your challenges, and discover how we can help you overcome them.

Consultations & AI solutions

Application of Computer Vision in Machine Learning-Based Diagnosis of Water Production Mechanisms in Oil Wells

Location: UAE

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Reference Synthetic-dataset for Novelty Detection in Oil Production Data: A Perceptive Evaluation along with Case Studies from 51 Oilfields

Location: Iraq

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Analytics Software Solution for Inventory Management

Location: Online

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Virtual inventory management system

Location: Online

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Field Network Model using PipeSim Python Toolkit

Location: UAE

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Evaluation of VLP Empirical correlations on 2,000 wells

Location: Egypt

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Feasibility study for water-shutoff operations

Location: Egypt

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Data analytics for 300+ Hydraulic Fracturing jobs

Location: Iraq

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Estimating permeability for non-cored wells

Location: UAE

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Proxy model, integrated with HYSYS, for process simulation

Location: Egypt

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Real-time ROP Prediction while drilling

Location: UAE

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Predictive maintenance for a gas distribution provider

Location: Kuwait

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Unlocking Geomechanical Insights with AI-Driven Predictive Modeling

Location: USA

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Bubble Point Pressure (BPP) Prediction

Location: UAE

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Revolutionizing Reservoir Engineering with AI-Driven PVT Property Prediction

Location: Kuwait

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Well Test Analysis with AI-Driven Reservoir Parameter Estimation

Location: Iraq

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Generating Petrophysical Logs from Seismic Data

Location: Egypt

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Implementation of Machine Learning for Petrophysical Reservoir Characterization in a Complex Carbonate Reservoir, a Case Study on Miocene Carbonate, offshore Gulf of Suez, Egypt

Location: Egypt

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Production Data Automation: A Python-Powered Journey from Outlook to PowerBI and OFM

Location: Online

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Development of Machine Learning Models for Real-Time Rate of Penetration Prediction for Motorized Bottom Hole Assembly

Location: UAE

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Fluid Rate Prediction Using ML

Location: Kuwait

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Development of Artificial Neural Network Models to Predict Downhole Scales in Oil Wells Using Surface Production Data

Location: Iraq

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Machine learning fault detection using Geophysical Insights Paradise SW.

Location: Online

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Artificial Intelligence Applications for Reservoir Quality and Well Bore Stability

Location: Kuwait

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Application of Machine Learning Model for Estimating the Geomechanical Rock Properties Using Conventional Well Logging Data

Location: Libya

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Data Analytics and Machine Learning Application for Reservoir Potential Prediction in Vuggy Carbonate Reservoirs Using Conventional Well Logging

Location: Online

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Advancing Reservoir Understanding: Integrating Deep Learning into Automated Formation Micro-Imaging Log Interpretation for Enhanced Reservoir Characterization and Management

Location: Online

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Predicting Shale Production Performance Through Machine Learning: The Development and Application of the Sweet Spot Quality Index

Location: Egypt

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Real-Time Identification of Geological Factuals by Combining Formation Micro Resistivity Imaging Logs With Computer Vision

Location: Egypt

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Revealing Insights in Evaluating Tight Carbonate Reservoirs: Significant Discoveries via Statistical Modeling. An In-Depth Analysis Using Integrated Machine Learning Strategies

Location: Online

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A Hybrid Data-Driven and Machine Learning Approach for Electrical Submersible Pump (ESP) Prognostics

Location: Kuwait

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A Statistical Framework for Survival Modelling and Performance Evaluation of Electrical Submersible Pump

Instructor: OPA Energy

Location: Online

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