SPE Asia Pacific Oil and Gas Conference and Exhibition 2011
DOI: 10.2118/140954-ms
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Worldwide Pore Pressure Prediction: Case Studies and Methods

Abstract: The paper presents methods and multiple examples of published case studies of pore pressure prediction in worldwide deepwater exploration. The case studies show that seismic data were mostly used to carry out predrill pore pressure prediction, especially for wildcat frontier areas. It is critical to process seismic data to obtain more reliable fit-for-purpose velocity models and to apply appropriate pore pressure models. Real-time updating with newly acquired data allows the uncertainties of the predrill pore … Show more

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Cited by 7 publications
(1 citation statement)
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“…XX Congresso Brasileiro de Mecânica dos Solos e Engenharia Geotécnica IX Simpósio Brasileiro de Mecânica das Rochas IX Simpósio Brasileiro de Engenheiros Geotécnicos Jovens VI Conferência Sul Americana de Engenheiros Geotécnicos Jovens 15 a 18 de Setembro de 2020 -Campinas -SP Saggaf et al, (2003); Arzuman (2009); Tang et al (2011);Suárez-Rivera et al (2003); and Sadiq & Nashawi (2000) also applied neural networks in properties prediction, performing rock characterization, lithological classification, among other related issues. Neural networks present themselves as a good option to estimate subsurface properties, especially when there is poor availability of wells.…”
Section: Introductionmentioning
confidence: 99%
“…XX Congresso Brasileiro de Mecânica dos Solos e Engenharia Geotécnica IX Simpósio Brasileiro de Mecânica das Rochas IX Simpósio Brasileiro de Engenheiros Geotécnicos Jovens VI Conferência Sul Americana de Engenheiros Geotécnicos Jovens 15 a 18 de Setembro de 2020 -Campinas -SP Saggaf et al, (2003); Arzuman (2009); Tang et al (2011);Suárez-Rivera et al (2003); and Sadiq & Nashawi (2000) also applied neural networks in properties prediction, performing rock characterization, lithological classification, among other related issues. Neural networks present themselves as a good option to estimate subsurface properties, especially when there is poor availability of wells.…”
Section: Introductionmentioning
confidence: 99%