A Comprehensive Review of Fracture-Driven Interaction in Unconventional Oil and Gas Plays: Characterization, Real-Time Diagnosis, and Impact on Production

Harpreet Singh, Peng Cheng, Yuwei Pan, Chengxi Li, Yu Liu, Xi Wu, Mary Van Domelen, Samuel Rogers, Arash Dahi Taleghani, Meng Cao

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

Objectives/Scope: The objective of this paper is to provide a comprehensive review of fracture-driven interaction (FDI) in unconventional oil and gas plays. This review aims to characterize FDI, diagnose it in real-time, and predict its impact on production. Methods, Procedures, Process: The methodology of this study involves conducting a comprehensive literature review by collecting and analyzing data from various sources, including published literature, technical reports, and field data. The paper focuses on the characterization of FDI in terms of its controlling factors, types of FDI, and FDIs measured in different plays. Real-time diagnosis of FDI is explored using pressure timeseries analysis (PTA) and strain data analysis (SDA). Additionally, methods for predicting the impact of FDI on production were reviewed. Results, Observations, Conclusions: Factors influencing FDI are reviewed, such as parent/off-set well depletion, petrophysical and geomechanical properties, well spacing, completion/stimulation parameters, and compressibility of fluid. The study outlines the characteristics of three FDI types (undrained poroelastic, indirect frac-hit, and direct frac-hit), and provides statistics of FDI pressures in various plays utilizing legacy monitoring and sealed wellbores. The study reviews real-time diagnosis and characterization of FDI and proposes three low-hanging fruit approaches for its improvement. Workflows for quantifying the impact of FDI on hydrocarbon production are not as effective as those for its diagnosis. Further research is needed to understand the impact of geological features, develop advanced diagnostic techniques, and quantitative methods to predict FDI's impact on production. Novel/Additive Information: The study's findings and recommendations can inform the development of advanced real-time techniques to diagnose and characterize FDIs, improving fracturing designs. Gaps in knowledge are identified for further research.

Original languageEnglish (US)
DOIs
StatePublished - 2023
Event2023 SPE/AAPG/SEG Unconventional Resources Technology Conference, URTC 2023 - Denver, United States
Duration: Jun 13 2023Jun 15 2023

Conference

Conference2023 SPE/AAPG/SEG Unconventional Resources Technology Conference, URTC 2023
Country/TerritoryUnited States
CityDenver
Period6/13/236/15/23

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

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