Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska

It has been proposed that Acoustic impedance (AI) responses can be used to estimate total organic carbon (TOC) within thick, clay rich shale. The purpose of this work is to evaluate the effectiveness of the AI inversion technique, and establish a methodology that can be applied to other basins. The...

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Main Author: Leedberg, Sarah Elisabeth
Format: Text
Language:English
Published: ScholarWorks@UTEP 2012
Subjects:
Online Access:https://scholarworks.utep.edu/dissertations/AAI1533235
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spelling ftutep:oai:scholarworks.utep.edu:dissertations-7435 2023-05-15T17:40:13+02:00 Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska Leedberg, Sarah Elisabeth 2012-01-01T08:00:00Z https://scholarworks.utep.edu/dissertations/AAI1533235 ENG eng ScholarWorks@UTEP https://scholarworks.utep.edu/dissertations/AAI1533235 ETD Collection for University of Texas, El Paso Geology|Geophysics|Petroleum Geology text 2012 ftutep 2023-01-23T21:11:38Z It has been proposed that Acoustic impedance (AI) responses can be used to estimate total organic carbon (TOC) within thick, clay rich shale. The purpose of this work is to evaluate the effectiveness of the AI inversion technique, and establish a methodology that can be applied to other basins. The Kingak Formation (lower Jurassic to early Cretaceous), located on the North Slope of Alaska, has been extensively evaluated for its unconventional potential. The Kingak is shale and is known to have greater than 30 percent clay. Because clay has ductile properties it makes it difficult to stimulate a well through hydraulic fracturing. This AI inversion technique was tested by utilizing synthetic seismograms to create an AI curve generated using The KINGDOM Software©. The synthetic seismograms were used to ensure a well log to seismic match. The synthetic seismograms also created an AI curve along the well. From these synthetic seismograms the AI value was compared to TOC values. It was from this comparison that a trend was observed that did not match the predicted trend. I believe the discrepancy observed was due to the sampling method. Based on this observation, I conclude that the method of tracking TOC with AI responses requires extremely controlled sampling methods; therefore it is not a beneficial method of revisiting old data sets in hopes of identifying new prospects. Text north slope Alaska University of Texas at El Paso: Digital Commons@UTEP
institution Open Polar
collection University of Texas at El Paso: Digital Commons@UTEP
op_collection_id ftutep
language English
topic Geology|Geophysics|Petroleum Geology
spellingShingle Geology|Geophysics|Petroleum Geology
Leedberg, Sarah Elisabeth
Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska
topic_facet Geology|Geophysics|Petroleum Geology
description It has been proposed that Acoustic impedance (AI) responses can be used to estimate total organic carbon (TOC) within thick, clay rich shale. The purpose of this work is to evaluate the effectiveness of the AI inversion technique, and establish a methodology that can be applied to other basins. The Kingak Formation (lower Jurassic to early Cretaceous), located on the North Slope of Alaska, has been extensively evaluated for its unconventional potential. The Kingak is shale and is known to have greater than 30 percent clay. Because clay has ductile properties it makes it difficult to stimulate a well through hydraulic fracturing. This AI inversion technique was tested by utilizing synthetic seismograms to create an AI curve generated using The KINGDOM Software©. The synthetic seismograms were used to ensure a well log to seismic match. The synthetic seismograms also created an AI curve along the well. From these synthetic seismograms the AI value was compared to TOC values. It was from this comparison that a trend was observed that did not match the predicted trend. I believe the discrepancy observed was due to the sampling method. Based on this observation, I conclude that the method of tracking TOC with AI responses requires extremely controlled sampling methods; therefore it is not a beneficial method of revisiting old data sets in hopes of identifying new prospects.
format Text
author Leedberg, Sarah Elisabeth
author_facet Leedberg, Sarah Elisabeth
author_sort Leedberg, Sarah Elisabeth
title Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska
title_short Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska
title_full Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska
title_fullStr Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska
title_full_unstemmed Evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; Kingak Shale, North Slope, Alaska
title_sort evaluating hydrocarbon source rock for unconventional shale oil play from seismic and well log data; kingak shale, north slope, alaska
publisher ScholarWorks@UTEP
publishDate 2012
url https://scholarworks.utep.edu/dissertations/AAI1533235
genre north slope
Alaska
genre_facet north slope
Alaska
op_source ETD Collection for University of Texas, El Paso
op_relation https://scholarworks.utep.edu/dissertations/AAI1533235
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