GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS

GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS

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Main Authors: ISLAM, MD. ASIFUL, ISMAIL, WARAKA BIN
Format: Thesis
Sprog:engelsk
Udgivet: 2025
Online adgang:http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/916
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author ISLAM, MD. ASIFUL
ISMAIL, WARAKA BIN
author_browse ISLAM, MD. ASIFUL
ISMAIL, WARAKA BIN
author_facet ISLAM, MD. ASIFUL
ISMAIL, WARAKA BIN
author_sort ISLAM, MD. ASIFUL
collection DSpace
description GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
format Thesis
id oai:localhost:123456789-916
institution My University
language English
publishDate 2025
publishDateRange 2025
publishDateSort 2025
record_format dspace
spelling oai:localhost:123456789-9162025-05-12T13:11:34Z GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS ISLAM, MD. ASIFUL ISMAIL, WARAKA BIN GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS In this thesis, the study on the gas chimney delineation and prospect identification using Artificial Neural Networks is described. The study was mainly concerned with the identification of prospects by the use of Artificial Neural Networks as well as the proposal of well locations. To interpret and analyze seismic and well data, version 6.2.0 of the OpendTect software was used. The available data of the F3 block extends from the Zechstein unit of the Paleozoic era to the Upper North Sea unit of the Cenozoic era. In the interpreted horizons, three different horizons have been chosen for the identification of hydrocarbon presence. Three differently derived outputs have been generated for the interpretation, which is attribute attribute-derived, amplitude-derived, and spectral decomposition output. Chimney cube have been generated by the use of Artificial Neural Networks whereas the amplitude derived result was calculated by RMS amplitude and similarity. Lastly, the RGBA blending was used to calculate and generate the spectral decomposition result. Finally, all the outputs were evaluated and proposed three different vertical wells to drill at the site. 2025-05-12T13:11:34Z 2025-05-12T13:11:34Z 2024-03 Thesis http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/916 en application/pdf
spellingShingle ISLAM, MD. ASIFUL
ISMAIL, WARAKA BIN
GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
title GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
title_full GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
title_fullStr GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
title_full_unstemmed GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
title_short GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
title_sort gas chimney delineation and prospect identification from seismic data using artificial neural networks in an area of north sea netherlands
url http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/916
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