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Pore pressure prediction while drilling; three-dimensional Earth model in the Gulf of Mexico

Fausto Mosca, Obren Djordjevic, Thomas Hantschel, Jim McCarthy, Ana Krueger, Dave Phelps, Tayo Akintokunbo, Thorsten Joppen, Klaas Koster, Michael Schupbach, Kenneth Hampshire and Andy MacGregor
Pore pressure prediction while drilling; three-dimensional Earth model in the Gulf of Mexico (in The future of basin and petroleum system modeling, a Hedberg research conference, Friedemann Bauer (editor), Allegra Hosford Scheirer (editor) and Kenneth E. Peters (editor))
AAPG Bulletin (April 2018) 102 (4): 691-708

Abstract

Subsalt Gulf of Mexico deep-water wells routinely cost in excess of $100 million. A reliable pore pressure prediction can translate into considerable savings in terms of drilling costs and safety. Traditional methods used to determine pore pressure are based on either logs (e.g., Eaton's or Bowers' methods) or seismic data (e.g., calibrated seismic velocities, acoustic impedance). Another method for pore pressure prediction is based on basin modeling: building a three-dimensional earth model and simulating the processes of pressure formation, through geologic time. Recent advancements in basin modeling, such as the coupling of stress and pressure and the implementation of models for mineral diagenesis and rock failure, have significantly improved its applicability. However, no single method is commonly accepted as better than another, therefore, using, comparing, and integrating all three methods together in a predrilling project can provide a higher degree of confidence for pore pressure prediction. The purpose of this paper is to describe a new approach to pore pressure prediction that combines the above methods with petroleum system modeling. A special emphasis is put on the explanation of the basin modeling workflow. The first step of the workflow is to create and calibrate a regional model based on a set of regional maps with the main goal of providing the regional context. The second step is to create a smaller area of interest (AOI) model using high-resolution structural and facies maps. This refined model is then used for pore pressure prediction at the prospect scale. The smaller AOI model, albeit at very high resolution, allows a model to be run overnight, so that pore pressure can be predicted ahead of the drilling bit. Finally, the predicted pore pressure and fracture gradient allow the drilling engineer to optimize well performance and reduce drilling costs.


ISSN: 0149-1423
EISSN: 1558-9153
Coden: AABUD2
Serial Title: AAPG Bulletin
Serial Volume: 102
Serial Issue: 4
Title: Pore pressure prediction while drilling; three-dimensional Earth model in the Gulf of Mexico
Title: The future of basin and petroleum system modeling, a Hedberg research conference
Author(s): Mosca, FaustoDjordjevic, ObrenHantschel, ThomasMcCarthy, JimKrueger, AnaPhelps, DaveAkintokunbo, TayoJoppen, ThorstenKoster, KlaasSchupbach, MichaelHampshire, KennethMacGregor, Andy
Author(s): Bauer, Friedemanneditor
Author(s): Hosford Scheirer, Allegraeditor
Author(s): Peters, Kenneth E.editor
Affiliation: Murphy Exploration and Production Company, Houston, TX, United States
Affiliation: Chevron, Houston, TX, United States
Pages: 691-708
Published: 201804
Text Language: English
Publisher: American Association of Petroleum Geologists, Tulsa, OK, United States
Meeting name: Hedberg research conference; The future of basin and petroleum system modeling
Meeting location: Santa Barbara, CA, USA, United States
Meeting date: 20160403April 3-8, 2016
References: 16
Accession Number: 2018-056187
Categories: Economic geology, geology of energy sources
Document Type: Serial Conference document
Bibliographic Level: Analytic
Illustration Description: illus. incl. block diags., sketch maps
N28°00'00" - N29°00'00", W89°00'00" - W88°00'00"
Secondary Affiliation: Newfield, USA, United StatesSchlumberger, DEU, GermanyOccidental Oil Company, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2018, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by American Association of Petroleum Geologists, Tulsa, OK, United States
Update Code: 2018
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