Application of production data-driven diagnostics workflow for water shut-off candidate selection in tight carbonate field

Talebian, Seyedeh Hosna; Beglari, Ali

doi:10.1007/s42452-019-1674-y

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…Talebian and Beglari [51] provided a methodology for selecting water shutoff (WSO) candidates based on production data. The WSO candidates were chosen based on their heterogeneity index, decline curve analysis, water oil ratio, and the impact of excessive water production on well ultimate recovery.…”

Section: Page|15mentioning

confidence: 99%

Diagnosing and Controlling Excessive Water Production: State-of-the-Art Review

Bin Marta,

Hammouda,

Tantawy

et al. 2023

Journal of Petroleum and Mining Engineering

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The oil and gas sector faces a complex issue with excessive water production (EWP), having substantial economic and environmental consequences. The reasons that lead to EWP are called water production mechanisms (WPMs). They are classified into mechanical, completion, and reservoir problems. Each water production mechanism (WPM) needs a certain form of treatment that is suited to that situation. However, controlling water production becomes more difficult when it is related to reservoir problems. Therefore, understanding these reasons is essential to properly analyze the current situation and design the best solution for the problem. It is essential to pinpoint the problem's source first as the probability of a successful remedy is limited without a suitable diagnostic method prior to implementing a treatment strategy. Well testing and logging methods, and analytical and empirical approaches are the traditional techniques for WPM diagnosis. This paper investigated the most modern and successful strategies used to diagnose the source of EWP and suggest the proper water shutoff technique. This paper shows that the diagnostic plots derivative technique is the best way to determine the reason for EWP problems. These plots, however, should be used in conjunction with other approaches like production logging and reservoir modeling. Then, chemical, or mechanical treatment techniques can be used to stop EWP depending on the cause of the production. Mechanical techniques should typically be employed when dealing with water production management in the wellbore or adjacent to the wellbore. In contrast, chemical techniques must be utilized for matrix or fracture plugging.

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Section: Page|15mentioning

confidence: 99%

Diagnosing and Controlling Excessive Water Production: State-of-the-Art Review

Bin Marta,

Hammouda,

Tantawy

et al. 2023

Journal of Petroleum and Mining Engineering

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“…Due to a declining trend in the exploration of new super-giant fields and production decline of existing carbonate fields categorized as easy oil, better understanding of the productibility issues surrounding complex and tight carbonates such as permeability and fracture netwrok evolution has become increasingly important [2,3]. Also in recent years, exploration and development companies have gained more interest in development of deep carbonates with more complexities in reservoir rock and fluid behavior and application of improved oil recovery (IOR) techniques such as stimulation to tackle productivity issues [4]. Uncertainties in microfracture network distribution and fluid behavior heterogeneities are some of the complexity elements that impose challenges to the IOR candidate selection and make the use of simulation models as the main way of data integration limited [5].…”

Section: Introductionmentioning

confidence: 99%

“…Uncertainties in microfracture network distribution and fluid behavior heterogeneities are some of the complexity elements that impose challenges to the IOR candidate selection and make the use of simulation models as the main way of data integration limited [5]. Therefore, the importance of surveillance data-driven analytics integrated with the hydro-mechanical modeling for the IOR decision-making process such as formation damage removal is highlighted [4]. The surveillance data-driven analytics integrated with the hydro-mechanical modeling to identify the stimulation candidate selection in a complex carbonate oil field is discussed in this paper.…”

Section: Introductionmentioning

confidence: 99%

Application of improved data-driven diagnostics workflow based on coupled hydro-mechanical model for stimulation candidate selection in a complex carbonate reservoir

2021

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The focus of the present paper is on utilizing a comprehensive diagnostics workflow that combines coupled hydro-mechanical modeling with production data-driven diagnostics for optimization of stimulation candidate selection process. Reservoir fluids production and production-induced depletion affect reservoir mechanical environment due to reduced pore pressure and increased effective stress and the consequent porosity and permeability reduction, depending on rock sensitivity to stress changes. The coupled formation damage index (CFDI) is implemented in the traditional stimulation candidate selection workflow to capture the effect of production-induced stress changes on the near-wellbore permeability over time. The top potential stimulation candidates are recognized based on heterogeneity index, static formation damage index, and the CFDI parameter. CFDI is a dynamic parameter for stimulation candidate selection through estimating time-dependent permeability changes induced by stress state and fluid pressure. Probabilistic type curves and decline curve analysis of candidate wells versus reservoir unit are also applied to complement the stimulation and production enhancement candidate selection.

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Application of production data-driven diagnostics workflow for water shut-off candidate selection in tight carbonate field

Cited by 2 publications

References 11 publications

Diagnosing and Controlling Excessive Water Production: State-of-the-Art Review

Diagnosing and Controlling Excessive Water Production: State-of-the-Art Review

Application of improved data-driven diagnostics workflow based on coupled hydro-mechanical model for stimulation candidate selection in a complex carbonate reservoir

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