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From Rocks to Models: Use of Outcrop...

Meirovitz, Casey Donald,

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From Rocks to Models: Use of Outcrop Characterization for Improved Reservoir Performance Prediction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	From Rocks to Models: Use of Outcrop Characterization for Improved Reservoir Performance Prediction // Casey Donald Meirovitz.
Author:	Meirovitz, Casey Donald,
Description:	1 electronic resource (201 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:	Dissertations Abstracts International86-04B.
Subject:	Geology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31235547
ISBN:	9798384470847

From Rocks to Models: Use of Outcrop Characterization for Improved Reservoir Performance Prediction /
Meirovitz, Casey Donald,

From Rocks to Models: Use of Outcrop Characterization for Improved Reservoir Performance Prediction /Casey Donald Meirovitz. - 1 electronic resource (201 pages)

Source: Dissertations Abstracts International, Volume: 86-04, Section: B.

Subsurface flow simulation plays an essential role in ensuring the safe, responsible, and affordable development of vital subsurface resources such as oil, gas, groundwater, and geothermal, although these simulations rarely capture fine-scale geologic features shown to strongly impact reservoir connectivity and performance. Reservoir flow simulation, a type of computational fluid dynamics focused on replicating the movement of fluids in the subsurface, requires characterization of both the fluids present and the strata in which the fluid(s) reside. Efforts to characterize and represent in flow simulations complex geologic architectures present in subsurface reservoirs is further complicated by the sparsity of geologic data in this remote environment and limitations in current technologies to resolve these features. Additionally, flow simulation is computationally intensive, requiring model cell sizes much larger than the geologic features they are intended to represent. Detailed characterization of outcropping strata provide essential information on the geologic architectures unique to each environment of deposition, although how to incorporate these high resolution observations in flow simulation remains challenging. This dissertation addresses this challenge by using detailed outcrop characterization of deep-water turbidite channels of the Tres Pasos Formation in Chile to: (1) determine which geologic features have the greatest impact on subsurface flow, (2) quantify the impact of these geologic features on reservoir performance predictions, and (3) evaluate two different approaches for producing the fine-scale flow behaviors they create in coarse-grid reservoir-scale simulations. This is accomplished through the use of high-resolution sector model simulations, a systematic approach to grid and reservoir property upscaling, and model validation. Ultimately, an approach which uses outcrop derived geologic trends to populate reservoir properties is found to best replicate fine-scale flow behaviors and provide enhanced flexibility to evaluate model sensitivity to geologic uncertainty. This work then departs from the deep-water channel turbidite environment to characterize complex geologic architectures present in highly heterolithic estuarine incised valley fill deposits of the Cretaceous Straight Cliffs Formation of southern Utah. Detailed characterization of an estuarine tidal bar and surrounding strata are presented, highlighting the strong impact and complex reservoir connectivity expected to result from laterally extensive draping mudstones common in this environment.

English

ISBN: 9798384470847Subjects--Topical Terms:

516570
Geology.
Subjects--Index Terms:

Channel

From Rocks to Models: Use of Outcrop Characterization for Improved Reservoir Performance Prediction /
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245 1 0 $a From Rocks to Models: Use of Outcrop Characterization for Improved Reservoir Performance Prediction / $c Casey Donald Meirovitz.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (201 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
500 $a Advisors: Johnson, Cari; Stright, Lisa Elizabeth Committee members: Birgenheier, Lauren P.; Solomon, Douglas Kip; Hubbard, Steve M.
502 $b Ph.D. $c The University of Utah $d 2024.
520 $a Subsurface flow simulation plays an essential role in ensuring the safe, responsible, and affordable development of vital subsurface resources such as oil, gas, groundwater, and geothermal, although these simulations rarely capture fine-scale geologic features shown to strongly impact reservoir connectivity and performance. Reservoir flow simulation, a type of computational fluid dynamics focused on replicating the movement of fluids in the subsurface, requires characterization of both the fluids present and the strata in which the fluid(s) reside. Efforts to characterize and represent in flow simulations complex geologic architectures present in subsurface reservoirs is further complicated by the sparsity of geologic data in this remote environment and limitations in current technologies to resolve these features. Additionally, flow simulation is computationally intensive, requiring model cell sizes much larger than the geologic features they are intended to represent. Detailed characterization of outcropping strata provide essential information on the geologic architectures unique to each environment of deposition, although how to incorporate these high resolution observations in flow simulation remains challenging. This dissertation addresses this challenge by using detailed outcrop characterization of deep-water turbidite channels of the Tres Pasos Formation in Chile to: (1) determine which geologic features have the greatest impact on subsurface flow, (2) quantify the impact of these geologic features on reservoir performance predictions, and (3) evaluate two different approaches for producing the fine-scale flow behaviors they create in coarse-grid reservoir-scale simulations. This is accomplished through the use of high-resolution sector model simulations, a systematic approach to grid and reservoir property upscaling, and model validation. Ultimately, an approach which uses outcrop derived geologic trends to populate reservoir properties is found to best replicate fine-scale flow behaviors and provide enhanced flexibility to evaluate model sensitivity to geologic uncertainty. This work then departs from the deep-water channel turbidite environment to characterize complex geologic architectures present in highly heterolithic estuarine incised valley fill deposits of the Cretaceous Straight Cliffs Formation of southern Utah. Detailed characterization of an estuarine tidal bar and surrounding strata are presented, highlighting the strong impact and complex reservoir connectivity expected to result from laterally extensive draping mudstones common in this environment.
546 $a English
590 $a School code: 0240
650 4 $a Geology. $3 516570
650 4 $a Petroleum geology. $3 3173827
650 4 $a Petroleum engineering. $3 566616
653 $a Channel
653 $a Heterogeneity
653 $a Modeling
653 $a Outcrop
653 $a Simulation
653 $a Turbidite
690 $a 0372
690 $a 0583
690 $a 0765
710 2 $a The University of Utah. $b Geology and Geophysics. $e degree granting institution. $3 3821572
720 1 $a Johnson, Cari $e degree supervisor.
720 1 $a Stright, Lisa Elizabeth $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-04B.
790 $a 0240
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31235547