Gas-bearing sands appraisal for Zamzama gas field in Pakistan through inverted elastic attributes assisted with PNN approximation of petrophysical properties
Joint Authors
Khan, Zahid U.
Lisa, Mona
Husayn, Muyassar
Ahmad, Sayyid A.
Source
Issue
Vol. 49, Issue 4 (31 Oct. 2022), pp.1-18, 18 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-10-31
Country of Publication
Kuwait
No. of Pages
18
Main Subjects
Earth Sciences, Water and Environment
Abstract EN
The pab formation of zamzama block, lying in the Lower Indus Basin of Pakistan, is a prominent gas-producing sand reservoir.
the optimized production is limited because of water encroachment surrounding the gas-producing wells, thus it is required to distinguish the gas-sand facies from the remainder of the wet sands and shales for additional drilling zones.
an approach is adopted based on the relation between petrophysical and elastic properties to characterize the prospect locations.
Petro-elastic models (PEMs) for the identified facies were generated to distinguish lithologies in their elastic ranges.
several elastic properties, including p-impedance (11,600-12,100 m/s*g/cc), s-impedance (7,000-7,330 m/s*g/cc), and Vp/Vs ratio (1.57-1.62), were calculated from the simultaneous prestack seismic inversion (SPSI), allowing the identification of gas sands in the field.
the inverted elastic attributes and well-based lithologies were incorporated into the bayesian framework to evaluate the probability of gas sands.
to determine the reservoir quality, bulk volumes of PHIE and clay were estimated using elastic volumes trained on well logs by employing Probabilistic neural networking (PNN), which effectively handles heterogeneity effects.
the results showed that the channelized gas sands passing through the existing well locations exhibited reduced clay content and maximum effective porosities of 9%, confirming the reservoir's good quality.
such approaches can be widely implemented in producing fields to completely assess lithofacies and achieve maximum production with minimal risks.
American Psychological Association (APA)
Khan, Zahid U.& Lisa, Mona& Husayn, Muyassar& Ahmad, Sayyid A.. 2022. Gas-bearing sands appraisal for Zamzama gas field in Pakistan through inverted elastic attributes assisted with PNN approximation of petrophysical properties. Kuwait Journal of Science،Vol. 49, no. 4, pp.1-18.
https://search.emarefa.net/detail/BIM-1504957
Modern Language Association (MLA)
Khan, Zahid U.…[et al.]. Gas-bearing sands appraisal for Zamzama gas field in Pakistan through inverted elastic attributes assisted with PNN approximation of petrophysical properties. Kuwait Journal of Science Vol. 49, no. 4 (Oct. 2022), pp.1-18.
https://search.emarefa.net/detail/BIM-1504957
American Medical Association (AMA)
Khan, Zahid U.& Lisa, Mona& Husayn, Muyassar& Ahmad, Sayyid A.. Gas-bearing sands appraisal for Zamzama gas field in Pakistan through inverted elastic attributes assisted with PNN approximation of petrophysical properties. Kuwait Journal of Science. 2022. Vol. 49, no. 4, pp.1-18.
https://search.emarefa.net/detail/BIM-1504957
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 15-18.
Record ID
BIM-1504957