Pre-stack inversion for porosity estimation from seismic data in an oil field, Eastern Saudi Arabia

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dc.contributor.advisorSen, Mrinal K.
dc.creatorAlMuhaidib, Abdulaziz Mohammad
dc.date.accessioned2024-06-11T21:54:21Z
dc.date.available2024-06-11T21:54:21Z
dc.date.issued2008
dc.description.abstractThe main objective of seismic inversion is to obtain earth model parameters from seismic reflection data. In other words, it is the process of determining what physical characteristics of rocks and fluids (i.e., P-impedance, shear impedance, and density) could have produced the seismic record. The aim of this study is to obtain reservoir properties, such as porosity both at the well locations and in the inter-well regions from seismic data and incorporated well logs. The target is a Jurassic carbonate reservoir from an oil field located to the East of Saudi Arabia. The purpose was to investigate the reliability of inferring the elastic properties (Zp, Zs, ρ) from seismic data in this field, and to build a geologic framework for flow simulation for better reservoir production forecasting and management. The seismic data were processed with special attention to preserving the true reflection amplitudes, and were time migrated before stack. Residual moveout from multiples after NMO, however, is almost horizontal at near offset, and constructively add to the stacked amplitude. Therefore, we applied a pre-stack inversion technique on the seismic data, after careful processing, including removal of residual internal multiples. Such an inversion incorporates all of the offsets to obtain an optimum acoustic impedance model. We also investigated the stability of inverting shear impedance and density in the field of study. The seismic inversion results were overall very good and stable for P-impedance. The match between borehole log and seismic impedance profiles was excellent for the high-contrast events and variable for the low contrast in acoustic impedance, depending on the location within the field. Inverted shear impedance results were less stable compared to P-Impedance, while density was totally unstable and has not been resolved. In general, areas of poor inversion coincided with the zones of poor quality seismic data. The borehole log data showed a good impedance-porosity relationship. The Raymer-Hunt-Gardner impedance-porosity empirical relation fits the borehole data very well. Thus, I used the Raymer-Hunt-Gardner relation, with coefficients for this field derived from the log data, to convert inverted acoustic impedance into a porosity model for the field. Based on the new quantitative seismic reservoir characterization, I was able to identify additional areas of potentially good reservoir quality
dc.description.departmentEarth and Planetary Sciences
dc.format.mediumelectronicen
dc.identifier.urihttps://hdl.handle.net/2152/125716
dc.identifier.urihttps://doi.org/10.26153/tsw/52276
dc.language.isoen
dc.relation.ispartofUT Electronic Theses and Dissertationsen
dc.rightsCopyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.rights.restrictionRestricted
dc.subjectSeismic inversion
dc.subjectSeismic reflection data
dc.subjectReservoir properties
dc.subjectReservoir porosity
dc.subjectSaudi Arabian carbonate reservoir
dc.subjectSaudi Arabian oil field
dc.subjectReservoir production forecasting
dc.subjectElastic properties
dc.subjectAcoustic impedance model
dc.subjectSeismic impedance
dc.subjectP-impedance
dc.subjectShear impedance
dc.subjectImpedance-porosity relationship
dc.subjectPorosity model
dc.subjectSeismic reservoir characterization
dc.subject.lcshCarbonate reservoirs--Saudi Arabia
dc.subject.lcshOil fields--Saudi Arabia
dc.subject.lcshSeismic tomography--Saudi Arabia
dc.subject.lcshSeismic reflection method
dc.subject.lcshInversion (Geophysics)
dc.subject.lcshGeological modeling
dc.titlePre-stack inversion for porosity estimation from seismic data in an oil field, Eastern Saudi Arabia
dc.typeThesis
dc.type.genreThesisen
thesis.degree.departmentEarth and Planetary Sciences
thesis.degree.disciplineGeological Sciences
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMasters
thesis.degree.nameMaster of Science in Geological Sciences

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