Reservoir Characterisation of High-Pressure, High-Temperature Zone of Malay Basin Using Seismic Inversion and Artificial Neural Network Approach

The growing demand for hydrocarbons has driven the exploration of riskier prospects in depths, pressures, and temperatures. Substantial volumes of hydrocarbons lie within deep formations, classified as high pressure, high temperature (HPHT) zone. This study aims to delineate hydrocarbon potential in...

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Autores principales:	Gulbahar Yazmyradova, Nik Nur Anis Amalina Nik Mohd Hassan, Nur Farhana Salleh, Maman Hermana, Hassan Soleimani
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rock physics inversion artificial neural network Malay Basin Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/256da7d9bd4e4da39bebe6d2c4975497
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Reservoir Characterisation of High-Pressure, High-Temperature Zone of Malay Basin Using Seismic Inversion and Artificial Neural Network Approach

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