Importance of conceptual geological models in 3D reservoir modelling

Cavero, J.; Orellana, N.; Yemez, I.; Singh, V. S.; Izaguirre, Elena

doi:10.3997/1365-2397.2016010

Cited by 11 publications

(3 citation statements)

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“…The differences of volumes distribution may also have a high impact on reservoir studies, especially for the computation of fluid volumes and fluid flow (Jackson et al, 2009;Lallier et al, 2012;Cavero et al, 2016). Indeed, the position of pinch-outs can be critical for reservoir compartmentalization.…”

Section: Resultsmentioning

confidence: 99%

“…It has, therefore, strong implications for understanding the complex interactions between climate, erosion, sedimentation and tectonics in siliciclastic environments (see for instance Molnar and England (1990); Burbank et al (1996); Métivier et al (1999); Rouby et al (2009);Charreau et al (2011);Guillocheau et al (2012); Bhattacharya et al (2016); Herman and Champagnac (2016);Nicholson et al (2016)). Stratigraphic correlations are also paramount to characterize stratigraphic architectures, their relation to facies distribution and their impact on fluid flow in the subsurface (Jackson et al, 2009;Lallier et al, 2012;Cavero et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty management in stratigraphic well correlation and stratigraphic architectures: A training-based method

Edwards

Lallier

Caumon

et al. 2018

Computers & Geosciences

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We discuss the sampling and the volumetric impact of stratigraphic correlation uncertainties in basins and reservoirs. From an input set of wells, we evaluate the probability for two stratigraphic units to be associated using an analog stratigraphic model. In the presence of multiple wells, this method sequentially updates a stratigraphic column defining the stratigraphic layering for each possible set of realizations. The resulting correlations are then used to create stratigraphic grids in three dimensions. We apply this method on a set of synthetic wells sampling a forward stratigraphic model built with Dionisos. To perform cross-validation of the method, we introduce a distance comparing the relative geological time of two models for each geographic position, and we compare the models in terms of volumes. Results show the ability of the method to automatically generate stratigraphic correlation scenarios, and also highlight some challenges when sampling stratigraphic uncertainties from multiple wells.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty management in stratigraphic well correlation and stratigraphic architectures: A training-based method

Edwards

Lallier

Caumon

et al. 2018

Computers & Geosciences

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“…This model characterizes the reference setting for computing the amount of hydrocarbons in the reservoir and forms the basis for the initialization of the dynamic model (Witter et al, 2016, Lerat et al, 2007, Al-Fatlawi et al, 2019b.The reservoir can only be produced once; then, it is unfortunate to select a position with low development situations. The practice of geological and reservoir models allows engineers to decide which development decisions deliver the safest and most cost-efficient development plan (Bashore et al, 1993, Cavero et al, 2016, Aziz and Hussein, 2021.…”

Section: Introductionmentioning

confidence: 99%

Construction of Comprehensive Geological Model for an Iraqi Oil Reservoir

Mahmood

Al-Fatlawi

2021

IGJ

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The paper generates a geological model of a giant Middle East oil reservoir, the model constructed based on the field data of 161 wells. The main aim of the paper was to recognize the value of the reservoir to investigate the feasibility of working on the reservoir modeling prior to the final decision of the investment for further development of this oilfield. Well log, deviation survey, 2D/3D interpreted seismic structural maps, facies, and core test were utilized to construct the developed geological model based on comprehensive interpretation and correlation processes using the PETREL platform. The geological model mainly aims to estimate stock-tank oil initially in place of the reservoir. In addition, three scenarios were applied based on sensitivity and uncertainty of five variables to determine an accurate estimation of stock-tank oil initially in place of the reservoir. The oil-water contact appeared to be the major uncertain parameter for stock-tank oil initially in place estimation because the available geological and field data was not enough to demonstrate it confidently, and only 13% of the total wells have penetrated the water zone in the Mishrif formation. The results of all scenarios indicate that the reservoir has huge stock-tank oil initially in place. The importance of developing this oilfield is validated by its very high stock-tank oil. This is where the value of this study becomes obvious.

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