Integrating machine learning-estimated Swir for robust rock typing and 3D modeling of heterogeneous carbonate reservoirs

Unsupervised Machine Learning for Reservoir Rock Type Classification in the Ngimbang Formation, Northeast Java Basin, Indonesia

Reservoir characterisation is a fundamental step in hydrocarbon exploration and production, requiring accurate identification of rock types and productive zones. Conventional petrophysical analysis alone is often insufficient to capture the full complexity of heterogeneous carbonate formations. This study applies unsup...

A novel workflow integrating machine learning-guided characterization of carbonate reservoirs using matching pursuit as an approach for post-stack inversion

Carbonate reservoir's complex pore system and high heterogeneity have led to the need for new specialized studies to improve reservoir characterization. However, this goal is often restricted by a lack of data. In this study, a novel procedure applied to a data-constrained petroleum field in the Gulf of Mexico is prese...

Data driven permeability modelling in tight Jhuran formation sandstones of the Kutch offshore Basin India

Permeability prediction in tight sandstone reservoirs remains a fundamental challenge, particularly in data-constrained frontier basins. The Mesozoic Jhuran Formation of the Kachchh Offshore Basin is characterized by low permeability (0.01–10 mD), heterogeneous facies architecture, and diagenetically modified pore syst...

A Multi‐Model, Physics‐Guided Machine Learning Approach for Lithofacies and Petrophysical Prediction in Complex Carbonate Reservoirs of the West Coast of India

Accurate lithofacies and petrophysical prediction in carbonate reservoirs remains challenging due to substantial heterogeneity, nonlinear rockfluid interactions and well log acquisition biases. This study presents a physics‐guided machine learning workflow that integrates domain‐driven feature engineering, Shapley Addi...

Data-driven approaches to rock typing in reservoir characterization: methodological advances, integration strategies, and challenges

Rock typing plays a pivotal role in reservoir characterization by categorizing reservoir rocks into distinct units based on their petrophysical and geological properties. This is essential for accurate reservoir modelling, simulation, and enhanced hydrocarbon recovery. Conventional techniques, including the Hydraulic F...

Uncertainty aware prediction of key petrophysical properties from well logs using physics informed and ensemble machine learning models