Pore pressure prediction using 2D Basin modeling technique

Overpressure and underpressure in the basin are mainly developed due to the disequilibrium compaction between the pore fluids and overburden pressure, and the heat flow/geothermal gradient in the rocks, leading to serious hazards in drilling operations due to the catastrophic well blowouts. Although...

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Main Authors: Jun, P.K., Abidin, N.S.Z., Mio, E.D.
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Published: Institute of Physics 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129808678&doi=10.1088%2f1755-1315%2f1003%2f1%2f012005&partnerID=40&md5=1fb2850b4b5d5c74608be7e514850b9b
http://eprints.utp.edu.my/33718/
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spelling my.utp.eprints.337182022-09-12T08:18:13Z Pore pressure prediction using 2D Basin modeling technique Jun, P.K. Abidin, N.S.Z. Mio, E.D. Overpressure and underpressure in the basin are mainly developed due to the disequilibrium compaction between the pore fluids and overburden pressure, and the heat flow/geothermal gradient in the rocks, leading to serious hazards in drilling operations due to the catastrophic well blowouts. Although some techniques have been used to explain the pore pressure mechanisms, there are still some missing gaps in the prediction. Basin modeling software is a very powerful tool as it incorporates various physical phenomena and can simulate the geological history of a sedimentary basin. Thus, a two-dimensional basin modeling software - TemisFlow, was used in the study. The present study was conducted at the Pelotas Basin, Brazil with the aims of (1) to build and run scenario test for pore pressure prediction of the Pelotas Basin, Brazil, (2) to identify the factors that control the pressure development, (3) to test the sensitivity of the parameters that control the pressure distribution, and (4) to evaluate the pressure distribution and pattern in the study area. The temperature model simulated by the software is calibrated with the field data provided in the well log as field pressure data is not provided. Nevertheless, calibration still can be done as the temperature at present and during the basin evolution is one of the parameters to pressure calculation in the model. Generally, the results show abnormal pressure zones are developed only in lower permeability of lithology - shale. Based on the simulations scenarios tested, the presence and generation of hydrocarbon in the Pelotas Basin also contribute a little to the development of overpressure in the basin. Based on the basin modeling results, the main overpressure mechanism in Pelotas Basin is still mainly due to compaction disequilibrium. © Published under licence by IOP Publishing Ltd. Institute of Physics 2022 ["eprint_typename_conference\_item" not defined] NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129808678&doi=10.1088%2f1755-1315%2f1003%2f1%2f012005&partnerID=40&md5=1fb2850b4b5d5c74608be7e514850b9b Jun, P.K. and Abidin, N.S.Z. and Mio, E.D. (2022) Pore pressure prediction using 2D Basin modeling technique. [["eprint_typename_conference\_item" not defined]] http://eprints.utp.edu.my/33718/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Overpressure and underpressure in the basin are mainly developed due to the disequilibrium compaction between the pore fluids and overburden pressure, and the heat flow/geothermal gradient in the rocks, leading to serious hazards in drilling operations due to the catastrophic well blowouts. Although some techniques have been used to explain the pore pressure mechanisms, there are still some missing gaps in the prediction. Basin modeling software is a very powerful tool as it incorporates various physical phenomena and can simulate the geological history of a sedimentary basin. Thus, a two-dimensional basin modeling software - TemisFlow, was used in the study. The present study was conducted at the Pelotas Basin, Brazil with the aims of (1) to build and run scenario test for pore pressure prediction of the Pelotas Basin, Brazil, (2) to identify the factors that control the pressure development, (3) to test the sensitivity of the parameters that control the pressure distribution, and (4) to evaluate the pressure distribution and pattern in the study area. The temperature model simulated by the software is calibrated with the field data provided in the well log as field pressure data is not provided. Nevertheless, calibration still can be done as the temperature at present and during the basin evolution is one of the parameters to pressure calculation in the model. Generally, the results show abnormal pressure zones are developed only in lower permeability of lithology - shale. Based on the simulations scenarios tested, the presence and generation of hydrocarbon in the Pelotas Basin also contribute a little to the development of overpressure in the basin. Based on the basin modeling results, the main overpressure mechanism in Pelotas Basin is still mainly due to compaction disequilibrium. © Published under licence by IOP Publishing Ltd.
format ["eprint_typename_conference\_item" not defined]
author Jun, P.K.
Abidin, N.S.Z.
Mio, E.D.
spellingShingle Jun, P.K.
Abidin, N.S.Z.
Mio, E.D.
Pore pressure prediction using 2D Basin modeling technique
author_facet Jun, P.K.
Abidin, N.S.Z.
Mio, E.D.
author_sort Jun, P.K.
title Pore pressure prediction using 2D Basin modeling technique
title_short Pore pressure prediction using 2D Basin modeling technique
title_full Pore pressure prediction using 2D Basin modeling technique
title_fullStr Pore pressure prediction using 2D Basin modeling technique
title_full_unstemmed Pore pressure prediction using 2D Basin modeling technique
title_sort pore pressure prediction using 2d basin modeling technique
publisher Institute of Physics
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129808678&doi=10.1088%2f1755-1315%2f1003%2f1%2f012005&partnerID=40&md5=1fb2850b4b5d5c74608be7e514850b9b
http://eprints.utp.edu.my/33718/
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