Predicting Waterflood Behavior by Simulating Earth Models with No or Limited Dynamic Data

Hovadik, Joseph; Larue, D. K.

doi:10.1306/13301406m961028

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Alternatively, simplified physics such as streamline simulation (Thiele et al, 1996) may be used on the fine-scale reservoir models. The computational cost of upscaling and streamline simulation and the relative complexity of these methods have motivated even simpler approximations of the dynamic reservoir response based on connectivity (Alabert and Modot, 1992;Ballin et al, 1992;Deutsch, 1998;Renard and Allard, 2013) or Fast Marching methods (Hovadik and Larue 2011;Xie et al, 2015). To investigate how far it is possible to go with the simplification (and therefore with the reduction of the computing cost) we can even consider using an extremely simple proxy such as the Stock Tank Original Oil In Place (STOOIP).…”

Section: Introductionmentioning

confidence: 99%

Oil production uncertainty assessment by predicting reservoir production curves and confidence intervals from arbitrary proxy responses

Bardy

Biver

Caumon

et al. 2019

Journal of Petroleum Science and Engineering

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Section: Introductionmentioning

confidence: 99%

Oil production uncertainty assessment by predicting reservoir production curves and confidence intervals from arbitrary proxy responses

Bardy

Biver

Caumon

et al. 2019

Journal of Petroleum Science and Engineering

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The impact of the spatial and temporal variability of physical and petrophysical properties on conventional reservoir performance

Majeed

Al-Rbeawi

2022

Arab J Geosci

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The influence of inter- and intra-channel architecture on deep-water turbidite reservoir performance

Meirovitz

Stright

Hubbard

et al. 2020

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Bed-scale heterogeneity in channelized deep-water reservoirs can significantly influence reservoir performance, but reservoir simulation typically requires cell sizes much greater than the scale of intra-channel element architecture. Here, bed- to geobody-scale simulations elucidate the influence of bed-scale architecture and channel element stacking on flow and connectivity, informing full-field reservoir model development and evaluation.Models consist of two channel element segments, each 300 m (985 ft) wide by 14 m (45 ft) thick and 550 m (1805 ft) long, stacked in 12 different stacking arrangements. Bed-scale architecture is captured in six deterministic element fills, highlighting interbedded sandstone and mudstone (thin bed) presence (homogeneous v. heterogeneous elements), position (symmetrical v. asymmetrical), and proportion (low v. high element net-to-gross). Each model is flow simulated to illuminate how element stacking and intra-element heterogeneity impacts reservoir performance.Thin bed presence and position have the greatest impact on reservoir connectivity/performance when elements are laterally offset; impacts are minimal when elements are vertically aligned. Impacts are exacerbated when the thin-bed proportion is increased. Where bed-scale architecture is represented, complex flow behaviours generate a significant variability in production timing and the cumulative volumes produced. Simulations consisting of a homogenous element architecture fail to capture complex flow behaviours, producing comparatively optimistic results.

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Predicting Waterflood Behavior by Simulating Earth Models with No or Limited Dynamic Data

Cited by 4 publications

References 17 publications

Oil production uncertainty assessment by predicting reservoir production curves and confidence intervals from arbitrary proxy responses

Oil production uncertainty assessment by predicting reservoir production curves and confidence intervals from arbitrary proxy responses

The impact of the spatial and temporal variability of physical and petrophysical properties on conventional reservoir performance

The influence of inter- and intra-channel architecture on deep-water turbidite reservoir performance

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