A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial …

CN Mkono, C Shen, AK Mulashani… - … Applications of Artificial …, 2025 - Elsevier
Abstract The estimation of Total Organic Carbon (TOC) in source rocks is critical for
assessing hydrocarbon potential and source rock quality in petroleum exploration and …

A novel hybrid machine learning and explainable artificial intelligence approaches for improved source rock prediction and hydrocarbon potential in the Mandawa …

CN Mkono, C Shen, AK Mulashani… - International Journal of …, 2025 - Elsevier
The oil and gas industry are heavily dependent on hydrocarbon resources, and the
identification of potential source rocks is a critical aspect of exploration. Accurate …

Estimating the hydrogen adsorption in depleted shale gas reservoirs for kerogens in underground hydrogen storage using machine learning algorithms

GC Mwakipunda, MB Nafouanti, ALW Ibrahim, L Yu - Fuel, 2025 - Elsevier
Underground hydrogen storage (UHS) is considered a key technology for the large-scale
storage and transport of hydrogen, playing a critical role in the transition to a sustainable …

Machine learning prediction method for assessing water quality impacts on sandstone reservoir permeability and its application in energy development

X Song, Y Liu, Z Song, J Wang, X Yang, G Li… - International Journal of …, 2025 - Elsevier
Water quality is a key determinant of sandstone reservoir permeability, directly influencing
subsurface reservoir management and energy extraction efficiency. However, existing …

[HTML][HTML] Studying Forest Species Classification Methods by Combining PolSAR and Vegetation Spectral Indices

H Zhu, W Song, B Zhang, E Lu, J Dai, W Zhao, Z Hu - Forests, 2024 - mdpi.com
Tree species are important factors affecting the carbon sequestration capacity of forests and
maintaining the stability of ecosystems, but trees are widely distributed spatially and located …

Improved Reservoir Porosity Estimation Using an Enhanced Group Method of Data Handling with Differential Evolution Model and Explainable Artificial Intelligence

CN Mkono, S Chuanbo, AK Mulashani, EN Abelly… - SPE Journal, 2025 - onepetro.org
Reservoir characterization is critical to the oil and gas industry, influencing field
development, production optimization, hydraulic fracturing, and reserves estimation …