[HTML][HTML] Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties

ZA Riyadi, JO Olutoki, M Hermana, AHA Latif… - Results in …, 2024 - Elsevier
Accurate estimation of porosity and permeability distribution is vital for reservoir
characterization, particularly challenging in areas with limited well data. This study …

[HTML][HTML] Evaluation of seismic responses from well-associated gas producing sands using integrated approaches for optimal field production in Zamzama gas field …

ZU Khan, M Hussain, SA Ahmed - Journal of Asian Earth Sciences: X, 2023 - Elsevier
The producing fields often observe early decline due to many misapprehended factors
concerning structural interpretation, facies identification, and proper estimation of geological …

[HTML][HTML] Reservoir characterisation of high-pressure, high-temperature zone of malay basin using seismic inversion and artificial neural network approach

G Yazmyradova, NNAANM Hassan, NF Salleh… - Applied Sciences, 2021 - mdpi.com
The growing demand for hydrocarbons has driven the exploration of riskier prospects in
depths, pressures, and temperatures. Substantial volumes of hydrocarbons lie within deep …

Harmonic extrapolation of seismic reflectivity spectrum for resolution enhancement: an insight from Inas Field, Offshore Malay Basin

BO Nwafor, M Hermana - Applied Sciences, 2022 - mdpi.com
Featured Application The workflow and the results presented in this article can be applied to
post-processed and pre-processed seismic data to increase accuracy in the quality and …

Reservoir characterization for hydrocarbon detection using Amplitude Variation with Angles constrained by localized rock physics template

OJ Allo, EA Ayolabi, L Adeoti, A Akinmosin… - Journal of African Earth …, 2022 - Elsevier
Seismic data are prone to ambiguities because different scenarios of geological structures
and rock properties can produce similar seismic reflections. The poorly compacted …

Optimization of amplitude versus offset attributes for lithology and hydrocarbon indicators using recurrent neural network

R Refael, M Hermana, TM Hossain - Natural Resources Research, 2022 - Springer
This article demonstrates the implementation of recurrent neural network (RNN) model in
optimizing amplitude versus offset (AVO) attributes for indicating lithology and hydrocarbon …

Gas saturation and tuning effect investigations in high seismic amplitude anomalies: a case study of the “Taadoy” field in Nigeria

L Adeoti, OJ Allo, T Oyeniran, OY Adeogun… - NRIAG Journal of …, 2025 - Taylor & Francis
The assumption that the presence of high seismic amplitude anomalies is mainly due to gas
saturation has significantly contributed to drilling failure in “Taadoy” Field. To mitigate failure …

Identification of AVO Attribute Response to the Presence of CO2 Content Using AVO Modelling Method in Lower Talang Akar Formation (LTAF), South Sumatra Basin

MR Perdana, MN Alamsyah, S Sukmono… - Rudarsko-geološko …, 2024 - hrcak.srce.hr
The research area is an oil and gas field that is currently undergoing development, located
in the South Sumatra Basin. Coal content, particularly within the Lower Talang Akar …

Pay zone determination using enhanced workflow and neural network

LA Syahputra, M Hermana, I Satti - Applied Sciences, 2022 - mdpi.com
Featured Application This article demonstrates the use of a type of unsupervised learning
named self-organizing maps to delineate hydrocarbons. Abstract Amplitude versus offset …

[PDF][PDF] Feasibility Study of CO2 Sequestration on Depleted Carbonate Reservoir Using Rockphysics and Seismic Forward Modeling, Central Luconia Sarawak Case …

AAQ Leea, M Hermanaa - Journal of Earth Sciences and …, 2023 - jms.procedia.org
Feasibility Study of CO2 Sequestration on Depleted Carbonate Reservoir Using Rockphysics
and Seismic Forward Modeling, Central L Page 1 Vol. 4, No. 1 (2023); 1 – 17 Journal of Earth …