New Models and Analysis Techniques for Diagnostic Fracture Injection Tests

dc.contributor.advisorSoliman, Mohamed Y.
dc.contributor.advisorFarouq Ali, S. M.
dc.contributor.committeeMemberDindoruk, Birol
dc.contributor.committeeMemberWong, George K.
dc.contributor.committeeMemberEmadi, Hossein
dc.creatorEltaleb, Ibrahim
dc.creator.orcid0000-0003-0694-6684
dc.date.accessioned2024-01-24T16:13:25Z
dc.date.createdAugust 2023
dc.date.issued2023-08
dc.date.updated2024-01-24T16:13:26Z
dc.description.abstractThis dissertation comprehensively explores various aspects of hydraulic fracturing diagnostic testing with a primary focus on accurately assessing in-situ stresses and determining formation permeability. Traditional fracture injection/shut-in tests (DFIT’s) play a critical role in this assessment; however, their applicability is limited in ultra-tight formations due to prolonged test durations. To overcome this challenge, pump-in/flowback tests have been employed to expedite the testing process. However, the use of pump- in/flowback tests has declined due to uncertain and inconclusive results obtained from existing techniques found in the literature. To address these limitations, this dissertation proposes an innovative analytical model that overcomes the challenges associated with estimating minimum stress. The model significantly reduces the need for multiple field trials to achieve the desired flow rates, ultimately enhancing the efficiency of hydraulic fracturing diagnostic testing. The effectiveness of the model is demonstrated through the analysis of DFIT field examples that involve complex natural fractures. Importantly, this model offers an advantage over current methods by providing improved insights into injection/flowback testing, particularly when the flowback procedure fails to consistently indicate fracture closure. This may be attributed to increased near wellbore tortuosity. Furthermore, this dissertation introduces an innovative approach for calculating formation permeability and reservoir pressure by analyzing the rebound pressure observed following pump-in/flowback tests. This approach enables the analysis of the post-closure period without the need for conventional injection tests, providing a significant time advantage. Moreover, a novel signal processing-based methodology is proposed to effectively denoise the test data and analyze fracture injection tests. Unlike conventional techniques, this methodology does not rely on assumptions regarding fracture geometry and rock properties. Additionally, it takes into account the impact of heat exchange between the fracturing fluid and the hot rock, surpassing the limitations of conventional tools. The developed models and analysis techniques are meticulously validated through comprehensive numerical simulations and rigorous field measurements. The cumulative findings of this dissertation make significant contributions to advancing the understanding and optimization of hydraulic fracturing and flowback testing processes. These insights hold significant value for the industry, fostering improved practices and outcomes in hydraulic fracturing operations.
dc.description.departmentPetroleum Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.citationPortions of this document appear in: Eltaleb, Ibrahim, and Mohamed Y. Soliman. "New Pump-In Flowback Model Verification with In-Situ Strain Measurements and Numerical Simulation." Energies 16, no. 4 (2023): 1970; and in: Eltaleb, I., A. Rezaei, F. Siddiqui, M. M. Awad, M. Mansi, B. Dindoruk, and M. Y. Soliman. "Analysis of fracture injection tests using signal processing approach." In SPE/AAPG/SEG Unconventional Resources Technology Conference, p. D033S075R002. URTEC, 2020; and in: Eltaleb, Ibrahim, Ali Rezaei, M. Y. Soliman, and Birol Dindoruk. "A signal processing approach for analysis of fracture injection test in geothermal reservoirs: A case study on the utah FORGE formation." In SPE hydraulic fracturing technology conference and exhibition. OnePetro, 2021.
dc.identifier.urihttps://hdl.handle.net/10657/16020
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectDFIT, Fracturing, Flowback, Geothermal, Closure Pressure
dc.titleNew Models and Analysis Techniques for Diagnostic Fracture Injection Tests
dc.type.dcmitext
dc.type.genreThesis
dcterms.accessRightsThe full text of this item is not available at this time because the student has placed this item under an embargo for a period of time. The Libraries are not authorized to provide a copy of this work during the embargo period.
local.embargo.lift2025-08-01
local.embargo.terms2025-08-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentPetroleum Engineering, Department of
thesis.degree.disciplinePetroleum Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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