Multiple Realization Approach in 3D Dynamic Modeling Under Hydraulic Fracturing and Geological Uncertainties (Russian)

Bigeldiyev, Asfandiyar; Abdrazakov, Dmitriy; Kovyazin, Dmitriy; Batu, Assem; Malyshev, Vladimir; Sidorov, D. V.; Voigtlaender, Gernot; Nauruzov, Talgat

doi:10.2118/202575-ru

SPE Annual Caspian Technical Conference 2020

DOI: 10.2118/202575-ru

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Multiple Realization Approach in 3D Dynamic Modeling Under Hydraulic Fracturing and Geological Uncertainties (Russian)

Asfandiyar Bigeldiyev¹,

Dmitriy Abdrazakov²,

Dmitriy Kovyazin³

et al.

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Cited by 3 publications

References 7 publications

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Advanced Modeling and New Fit for Purpose Fluids Unlock Potential of Hot Carbonate Reservoirs During Acid Fracturing in Uzbekistan

Abdrazakov

Yerikuly

Komekbayev

et al. 2020

Day 1 Tue, September 22, 2020

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Selection of the optimum production stimulation strategy depends on the given reservoir and well parameters, with their uncertainties. This study proposes reservoir property-dependent profitability (RPDP) plots as a tool for stimulation treatment type selection. These plots helped to define acid fracturing as an optimum stimulation strategy for hot carbonate reservoirs, which are described in case studies. The presented case studies describe implementation of an advanced approach to acid fracturing design and execution. The advanced approach consists of three key components. First is use of a single-phase retarded acid to achieve longer etched fracture half lengths, decrease volume of the treatment, and mitigate the potential for anhydrite precipitation. The second component of the approach is employing linear gel as a pad to minimize water breakthrough risks but, at the same time, provide adequate viscosity during the fracturing process. The third component is implementation of an advanced acid fracturing simulator, which can model complex acid-rock interaction and transport processes. The combined advanced acid fracturing approach was applied to the design and execution of 15 acid fracturing jobs in Uzbekistan. Post-treatment production results showed that 300% productivity index (PI) increase was achieved for the entire set of wells. In comparison with the existing standard approach, the same PI increase was achieved with 70% less fluid pumped, and water breakthrough risk was successfully mitigated by optimization of fluid volumes in an advanced fracturing simulator.

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Advanced Modeling and New Fit for Purpose Fluids Unlock Potential of Hot Carbonate Reservoirs During Acid Fracturing in Uzbekistan

Abdrazakov

Yerikuly

Komekbayev

et al. 2020

Day 1 Tue, September 22, 2020

View full text Add to dashboard Cite

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Advanced Modeling and New Fit for Purpose Fluids Unlock Potential of Hot Carbonate Reservoirs During Acid Fracturing in Uzbekistan (Russian)

Abdrazakov

Yerikuly

Komekbayev

et al. 2020

SPE Symposium: Hydraulic Fracturing in Russia. Experience and Prospects

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Field Development Optimization Under Uncertainty and Risk Assessment of Carbonate Massive Reservoir in West Kazakhstan

Bigeldiyev

Ramatullayev

Kovyazin

et al. 2022

Day 1 Tue, November 15, 2022

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Reservoir modeling has become an indispensable tool in the oil and gas industry to measure risk associated with alternative production scenarios. It is no secret that nowadays more and more operators use deterministic approach for history matching but even so, the task remains technically challenging. Given a large number of uncertainties associated with subsurface models, it has become critical to produce a set of history-matched models and use them for risk assessment in predicting the future performance of the reservoir. Quantification of uncertainties is a vital process in complex fields to ensure a proper field development plan (FDP) is in place. In this paper, we present a comprehensive workflow that incorporates all processes from building static and dynamic models to producing ensemble of history matched models. To assess the mismatch with historical production data, a number of geological realizations were created and simulated using a variety of uncertainty parameters. Based on the obtained mismatch value, the posterior probability distribution for uncertain parameters updated. Different optimization methods are used to find candidates with improved match quality, and this loop is repeated until a set of diverse history-matched models are generated. These calibrated reservoir models are then used to estimate prediction uncertainties for further FDP optimization. This study is focused on automating workflows and generating multiple geological realizations that produce a set of history-matched models to probabilistically estimate prediction uncertainties and optimize FDP. We also show how these models are critical in the process of decision making and risk evaluation.

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Multiple Realization Approach in 3D Dynamic Modeling Under Hydraulic Fracturing and Geological Uncertainties (Russian)

Cited by 3 publications

References 7 publications

Advanced Modeling and New Fit for Purpose Fluids Unlock Potential of Hot Carbonate Reservoirs During Acid Fracturing in Uzbekistan

Advanced Modeling and New Fit for Purpose Fluids Unlock Potential of Hot Carbonate Reservoirs During Acid Fracturing in Uzbekistan

Advanced Modeling and New Fit for Purpose Fluids Unlock Potential of Hot Carbonate Reservoirs During Acid Fracturing in Uzbekistan (Russian)

Field Development Optimization Under Uncertainty and Risk Assessment of Carbonate Massive Reservoir in West Kazakhstan

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