Adaptive forward-inverse modeling of reservoir fluids away from wellbores

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This Final Report contains the deliverables of the DeepLook Phase I project entitled, ''Adaptive Forward-Inverse Modeling of Reservoir Fluids Away from Wellbores''. The deliverables are: (i) a description of 2-D test problem results, analyses, and technical descriptions of the techniques used, (ii) a listing of program setup commands that construct and execute the codes for selected test problems (these commands are in mathematical terminology, which reinforces technical descriptions in the text), and (iii) an evaluation and recommendation regarding continuance of this project, including considerations of possible extensions to 3-D codes, additional technical scope, and budget for the out-years. The far-market ... continued below

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29 Megabytes pages

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Ziagos, J P; Gelinas, R J; Doss, S K & Nelson, R G July 30, 1999.

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Description

This Final Report contains the deliverables of the DeepLook Phase I project entitled, ''Adaptive Forward-Inverse Modeling of Reservoir Fluids Away from Wellbores''. The deliverables are: (i) a description of 2-D test problem results, analyses, and technical descriptions of the techniques used, (ii) a listing of program setup commands that construct and execute the codes for selected test problems (these commands are in mathematical terminology, which reinforces technical descriptions in the text), and (iii) an evaluation and recommendation regarding continuance of this project, including considerations of possible extensions to 3-D codes, additional technical scope, and budget for the out-years. The far-market objective in this project is to develop advanced technologies that can help locate and enhance the recovery of oil from heterogeneous rock formations. The specific technical objective in Phase I was to develop proof-of-concept of new forward and inverse (F-I) modeling techniques [Gelinas et al, 1998] that seek to enhance estimates (images) of formation permeability distributions and fluid motion away from wellbore volumes. This goes to the heart of improving industry's ability to jointly image reservoir permeability and flow predictions of trapped and recovered oil versus time. The estimation of formation permeability away from borehole measurements is an ''inverse'' problem. It is an inseparable part of modeling fluid flows throughout the reservoir in efforts to increase the efficiency of oil recovery at minimum cost. Classic issues of non-uniqueness, mathematical instability, noise effects, and inadequate numerical solution techniques have historically impeded progress in reservoir parameter estimations. Because information pertaining to fluid and rock properties is always sampled sparsely by wellbore measurements, a successful method for interpolating permeability and fluid data between the measurements must be: (i) physics-based, (ii) conditioned by signal-processing tenets, and (iii) solved with sufficiently rigorous mathematical and numerical techniques. Such a methodology is applied in this project, as we extend the F-I modeling methods developed at LLNL for ground water remediation to DeepLook reservoir problems involving transient multiphase flows. The results obtained at this juncture are encouraging; and the proposed objectives of Phase I have been achieved.

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29 Megabytes pages

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  • Other Information: PBD: 30 Jul 1999

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  • Report No.: UCRL-ID-126377
  • Report No.: EW04F6030
  • Report No.: 97-ERP-028
  • Grant Number: W-7405-ENG-48
  • DOI: 10.2172/14795 | External Link
  • Office of Scientific & Technical Information Report Number: 14795
  • Archival Resource Key: ark:/67531/metadc623524

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  • July 30, 1999

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  • June 16, 2015, 7:43 a.m.

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  • May 5, 2016, 9 p.m.

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Ziagos, J P; Gelinas, R J; Doss, S K & Nelson, R G. Adaptive forward-inverse modeling of reservoir fluids away from wellbores, report, July 30, 1999; California. (digital.library.unt.edu/ark:/67531/metadc623524/: accessed October 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.