Fracture Hits in Unconventional Reservoirs: A Critical Review

Gupta, Ishank; Rai, Chandra; Devegowda, Deepak; Sondergeld, Carl H.

doi:10.2118/203839-pa

Cited by 56 publications

(27 citation statements)

References 112 publications

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“…However, its use has grown over time to include other forms of well interference or involvement in shale/tight reservoirs. A challenging interplay of petrophysical properties (e.g., mineralogy, natural fissures, matrix permeability), geomechanical characteristics (e.g., Young’s modulus and Poisson’s ratio), completion factors (e.g., fluid and proppant amount, pumping speed, stage length), and design decisions (e.g., fracture sequencing and well-spacing) determines the influence of fracture hits . Fracture hits are not easy to foresee, and they have an influence on both the parent and the child wells.…”

Section: Field Assessmentmentioning

confidence: 99%

“…When the various case studies are summarized, it is clear that a depleted parent well seems to always have an adverse effect on the child well. The major causes controlling the effects of well bashing are classified as either unchangeable or changeable . Factors that operators cannot modify, including in situ pressures as well as geomechanical properties, are examples of “unchangeable variables”.…”

Section: Field Assessmentmentioning

confidence: 99%

“…Factors that can be modified by workers, including completion setup or design, well spacing, and etc., are examples of “changeable variables”. The reader is referred to a recent review on fracture hits in shale reservoirs for further information regarding factors influencing fracture hits, diagnostic tools of fracture hits, approaches to mitigate fracture hits, and approaches suggested to manage fracture hits …”

Section: Field Assessmentmentioning

confidence: 99%

“…A challenging interplay of petrophysical properties (e.g., mineralogy, natural fissures, matrix permeability), geomechanical characteristics (e.g., Young's modulus and Poisson's ratio), completion factors (e.g., fluid and proppant amount, pumping speed, stage length), and design decisions (e.g., fracture sequencing and well-spacing) determines the influence of fracture hits. 308 Fracture hits are not easy to foresee, and they have an influence on both the parent and the child wells. The effect on child wells is overwhelmingly negative, while the influence on parent wells can be either favorable or unfavorable.…”

Section: Gas-eor Experimental Studiesmentioning

confidence: 99%

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Huff-n-Puff Technology for Enhanced Oil Recovery in Shale/Tight Oil Reservoirs: Progress, Gaps, and Perspectives

et al. 2021

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In recent times, particularly in the 21st century, there has been an alarming increase in the demand for global energy, along with continuous depletion in conventional oil reservoirs. This necessity has incentivized interested scholars and operators worldwide to seek alternative oil resources. To secure such accelerating energy demand, considerable effort has been directed toward the development of previously unconventional oil formations that, in past decades, had remained sidelined. Although shale oil reservoirs have seen tremendous success over the past decade, the continued challenges of rapidly declining oil flow rates and oil retention in the pores continuously persist. Substantial attempts have been made to improve shale-bypassed oil recovery; however, there is little data about the accessibility on recovery mechanisms, especially in the oil field. Furthermore, approachesparticularly, Huff-n-Puff (H-n-P) experiments using conventional proceduresfail to properly represent field conditions and they generate deceptive findings, because the utilized cores are not simulated under realistic reservoir conditions, leaving the significance of critical factors unclear. Therefore, this review study comprehensively and specifically discusses the feasibility of enhanced oil recovery (EOR) methods in unconventional oil reservoirs. Beside addressing the validity of the currently applied H-n-P technology in shale/tight oil reservoirs and underlining some critical gaps regarding laboratory results, modified technology is proposed in this paper for a better field future performance. The study is divided into sections, and each section analyzes the role of one specific H-n-P portion in detail, such as preferable injected solvents, their mechanisms, and critical factors affecting H-n-P recovery. The exceptions to this are the first and second sections, which provide a brief introduction about shale and tight oil reservoirs, a history of applied technology, and the method’s current problem statement. In the Introduction section, the authors will justify why this Review fills a critical gap in the field. Within the assessment study, great focus is given to the H-n-P technique, its parameters, and effective processes. In the final sections, carefully chosen experimental results and tools are reviewed to highlight the controversy and state “the gap”.

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Section: Field Assessmentmentioning

confidence: 99%

Section: Field Assessmentmentioning

confidence: 99%

Section: Field Assessmentmentioning

confidence: 99%

Section: Gas-eor Experimental Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Huff-n-Puff Technology for Enhanced Oil Recovery in Shale/Tight Oil Reservoirs: Progress, Gaps, and Perspectives

et al. 2021

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“…With the tremendous infill wells drilling in recent years, well interference or fracture hits became the top issue for unconventional reservoir development [2][3][4][5][6][7][8][9][10]. Specifically, the interference mechanism is a complicated issue in terms of matrix permeability and complex fracture network [2].…”

Section: Introductionmentioning

confidence: 99%

Automatic History Matching of Parent-Child Wells in Shale Gas Reservoirs with Complex Fracture Hits

et al. 2022

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It is excessively crucial for performing production match of parent-child wells automatically by using assisted history matching approach, especially considering the interwell interference scenario. We explored a new EDFM-AI (Embedded Discrete Facture Model-Artificial Intelligence) workflow by taking into account the multiple uncertainty parameters that were composed of fracture height, fracture half-length, fracture conductivity, fracture water saturation, fracture cluster efficiency, and natural fracture conductivity. The history matching algorithm implemented in this study is advanced machine learning model called XGBoost. It could overcome the issue that the proxy model is always imprecise due to the limited training sample data. Specifically, we established a field-scale reservoir model that includes parent-child shale gas wells with fracture hits in the Sichuan basin. By using this sophisticated workflow, two wells’ history matching results are excellent in terms of the inversed solution of the hydraulic fracture properties and natural fracture properties. And then, we perform the production forecasting for parent and child wells, respectively. Consequently, the results show that the best match value for estimated ultimate recovery (EUR) of parent well is 287.4 million cubic meters whereas the best match value for EUR of child well is 187.6 million cubic meters. The reliable reason is that effective fractured area of parent well is larger than that of child well. Besides, the natural fractures have a significant impact on the performance of shale gas wells with fracture hits observed, especially in the short-term production period.

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