Unconventional Optimized Development Strategy Workflow

Morsy, Samiha; Menconi, Mauro; Liang, Baosheng

doi:10.2118/200775-ms

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Cipolla et al [16] and Fowler et al [9] modeled stress changes in a field-scale laboratory study. Morsy et al [17] reported a numerical simulation workflow to optimize offset well design through sensitivity analysis in the Wolfcamp formation. Cai and Taleghani [18] worked on the theory developed by Daneshy [19] using numerical modeling for the interpretation of pressure response in primary wells during the stimulation of offset wells.…”

Section: Bakkenmentioning

confidence: 99%

Offset Well Design Optimization Using a Surrogate Model and Metaheuristic Algorithms: A Bakken Case Study

Merzoug

Rasouli

2023

Eng

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Fracture-driven interaction FDI (colloquially called “Frac-hit”) is the interference of fractures between two or more wells. This interference can have a significant impact on well production, depending on the unconventional play of interest (which can be positive or negative). In this work, the surrogate model was used along with metaheuristic optimization algorithms to optimize the completion design for a case study in the Bakken. A numerical model was built in a physics-based simulator that combines hydraulic fracturing, geomechanics, and reservoir numerical modeling as a continuous simulation. The stress was estimated using the anisotropic extended Eaton method. The fractures were calibrated using Microseismic Depletion Delineation (MDD) and microseismic events. The reservoir model was calibrated to 10 years of production data and bottom hole pressure by adjusting relative permeability curves. The stress changes due to depletion were calibrated using recorded pressure data from MDD and FDI. Once the model was calibrated, sensitivity analysis was run on the injected volumes, the number of clusters, the spacing between clusters, and the spacing between wells using Sobol and Latin Hypercube sampling. The results were used to build a surrogate model using an artificial neural network. The coefficient of correlation was in the order of 0.96 for both training and testing. The surrogate model was used to construct a net present value model for the whole system, which was then optimized using the Grey Wolf algorithm and the Particle Swarm Optimization algorithm, and the optimum design was reported. The optimum design is a combination of wider well spacing (1320 ft), tighter cluster spacing (22 ft), high injection volume (1950 STB/cluster), and a low cluster number per stage (seven clusters). This study suggests an optimum design for a horizontal well in the Bakken drilled next to a well that has been producing for ten years. The design can be deployed in new wells that are drilled next to depleted wells to optimize the system’s oil production.

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Section: Bakkenmentioning

confidence: 99%

Offset Well Design Optimization Using a Surrogate Model and Metaheuristic Algorithms: A Bakken Case Study

Merzoug

Rasouli

2023

Eng

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“…Depleting the primary well creates a low-stress area due to the poro-elastic response of the rock mass. When the fracture propagates from the offset well, a low-stress zone around the primary well causes an asymmetric growth of these fractures toward the lower stress area of the primary well [85,[87][88][89].…”

Section: Fracture Driven Interactionmentioning

confidence: 99%

Advancement in Hydraulic Fracturing for Improved Oil Recovery

Merzoug,

Ouadi,

Tomomewo

2023

Innovations in Enhanced and Improved Oil Recovery - New Advances

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This chapter provides a comprehensive overview of advancements in hydraulic fracturing in unconventional plays. The narrative starts with an introduction to hydraulic fracturing and its transformative potential in the U.S., showcasing innovations in fracturing volumes, proppant masses, and well laterals. A detailed examination of fracturing fluids follows, emphasizing the dominance of slickwater treatments in unconventional plays. The chapter then delves into the crucial role of proppants, highlighting their surge in usage over a decade and the consequential shifts in material choice. The intricacies of perforation design are explored, particularly the revolutionary Xtreme Limited Entry approach and its subsequent impacts on production efficiency. In the realm of diagnostic technologies, the chapter presents a range, from traditional methods to emerging ones like Microseismic Depletion Delineation and time-lapse geochemical fingerprinting. The topic of refracturing is also addressed, spotlighting its merits in combating rapid production declines and the associated challenges. Finally, the chapter elucidates the phenomenon of fracture-driven interaction, offering insights into its historical context, influential factors, and proposed strategies to manage its repercussions. Through its breadth and depth, this chapter underscores the multifaceted nature of hydraulic fracturing advancements and their significance in the oil industry.

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Unconventional Optimized Development Strategy Workflow

Cited by 2 publications

References 2 publications

Offset Well Design Optimization Using a Surrogate Model and Metaheuristic Algorithms: A Bakken Case Study

Offset Well Design Optimization Using a Surrogate Model and Metaheuristic Algorithms: A Bakken Case Study

Advancement in Hydraulic Fracturing for Improved Oil Recovery

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