Integration of well data into dynamic reservoir interpretation using multiple seismic surveys

This thesis develops and tests a new technique which integrates information from well production and 4D seismic data directly in the data domain. This method is of value when seismic data are acquired by multiple surveys over the same area of a hydrocarbon reservoir. Sequences of 4D seismic changes...

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Bibliographic Details
Main Author: Huang, Yi
Other Authors: MacBeth, Colin
Format: Thesis
Language:English
Published: Heriot-Watt University 2011
Subjects:
Online Access:http://hdl.handle.net/10399/2527
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spelling ftheriotwattuniv:oai:www.ros.hw.ac.uk:10399/2527 2024-09-30T14:39:01+00:00 Integration of well data into dynamic reservoir interpretation using multiple seismic surveys Huang, Yi MacBeth, Colin 2011-12 application/pdf http://hdl.handle.net/10399/2527 en eng Heriot-Watt University Petroleum Engineering http://hdl.handle.net/10399/2527 All items in ROS are protected by the Creative Commons copyright license (http://creativecommons.org/licenses/by-nc-nd/2.5/scotland/), with some rights reserved. Thesis 2011 ftheriotwattuniv 2024-09-03T03:10:09Z This thesis develops and tests a new technique which integrates information from well production and 4D seismic data directly in the data domain. This method is of value when seismic data are acquired by multiple surveys over the same area of a hydrocarbon reservoir. Sequences of 4D seismic changes can then be extracted over different time intervals from multiply repeated seismic surveys and these are cross correlated with identical time sequences of cumulative fluid volumes produced or injected from wells. The technique is applied to frequently repeated seismic surveys from three North Sea fields, including two compartmentalised reservoirs: the Schiehallion and Norne field, and a compacting reservoir: the Valhall field. Maps of well to seismic cross-correlations are proven to produce a strong, localised and stable signal in the connected neighbourhood of individual wells. The correlation signatures from the Schiehallion and Norne application investigated in this thesis are the consequence of pressure performance due to reservoir compartmentalisation. In the Schiehallion study, the mapped results help identify the production signal related only to individual wells, thus leading to a better delineation of reservoir compartments. In the Norne study in particular, an extra reservoir volume connected to the original segment is highlighted by the technique. The reservoir simulation model is subsequently updated and a better match between the observed and simulated data can be achieved. The application to the compacting Valhall field involves using data from the Life of Field Seismic project, for which the 4D signature is dominated by compaction-assisted pressure depletion. For these data, both AI and time-shift attributes are found to have a remarkably consistent correlation with the well activity for selected groups of wells. Further, maps of these results possess sufficient fine scale detail to resolve and disentangle interfering seismic responses generated by closely spaced wells and localised zones of gas ... Thesis Norne field Heriot-Watt University, Edinburgh: ROS - The Research Output Service Valhall ENVELOPE(14.217,14.217,68.229,68.229)
institution Open Polar
collection Heriot-Watt University, Edinburgh: ROS - The Research Output Service
op_collection_id ftheriotwattuniv
language English
description This thesis develops and tests a new technique which integrates information from well production and 4D seismic data directly in the data domain. This method is of value when seismic data are acquired by multiple surveys over the same area of a hydrocarbon reservoir. Sequences of 4D seismic changes can then be extracted over different time intervals from multiply repeated seismic surveys and these are cross correlated with identical time sequences of cumulative fluid volumes produced or injected from wells. The technique is applied to frequently repeated seismic surveys from three North Sea fields, including two compartmentalised reservoirs: the Schiehallion and Norne field, and a compacting reservoir: the Valhall field. Maps of well to seismic cross-correlations are proven to produce a strong, localised and stable signal in the connected neighbourhood of individual wells. The correlation signatures from the Schiehallion and Norne application investigated in this thesis are the consequence of pressure performance due to reservoir compartmentalisation. In the Schiehallion study, the mapped results help identify the production signal related only to individual wells, thus leading to a better delineation of reservoir compartments. In the Norne study in particular, an extra reservoir volume connected to the original segment is highlighted by the technique. The reservoir simulation model is subsequently updated and a better match between the observed and simulated data can be achieved. The application to the compacting Valhall field involves using data from the Life of Field Seismic project, for which the 4D signature is dominated by compaction-assisted pressure depletion. For these data, both AI and time-shift attributes are found to have a remarkably consistent correlation with the well activity for selected groups of wells. Further, maps of these results possess sufficient fine scale detail to resolve and disentangle interfering seismic responses generated by closely spaced wells and localised zones of gas ...
author2 MacBeth, Colin
format Thesis
author Huang, Yi
spellingShingle Huang, Yi
Integration of well data into dynamic reservoir interpretation using multiple seismic surveys
author_facet Huang, Yi
author_sort Huang, Yi
title Integration of well data into dynamic reservoir interpretation using multiple seismic surveys
title_short Integration of well data into dynamic reservoir interpretation using multiple seismic surveys
title_full Integration of well data into dynamic reservoir interpretation using multiple seismic surveys
title_fullStr Integration of well data into dynamic reservoir interpretation using multiple seismic surveys
title_full_unstemmed Integration of well data into dynamic reservoir interpretation using multiple seismic surveys
title_sort integration of well data into dynamic reservoir interpretation using multiple seismic surveys
publisher Heriot-Watt University
publishDate 2011
url http://hdl.handle.net/10399/2527
long_lat ENVELOPE(14.217,14.217,68.229,68.229)
geographic Valhall
geographic_facet Valhall
genre Norne field
genre_facet Norne field
op_relation http://hdl.handle.net/10399/2527
op_rights All items in ROS are protected by the Creative Commons copyright license (http://creativecommons.org/licenses/by-nc-nd/2.5/scotland/), with some rights reserved.
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