Sustainable development of unconventional resources: Analysis of transient linear flow oriented straight-line analysis technique

As an efficacious solution to the conventional resource depletion, unconventional reservoirs have emerged in a dominant role to furnish substantial oil and gas supplies worldwide. For unconventional reservoirs, the primary hurdle pertains to the assessment of the stimulated permeability and the success of completion design based on time-dependent patterns in flowrate and pressure, which holds paramount significance in the context of long-term reservoir management including strategies like enhanced oil recovery and post-depletion CO₂ storage and sequestration. Consequently, the analysis of production data through RTA technique emerges as an effective tool to assess the effectiveness of well stimulation.

To meet the requirements of new theories and methods for efficient evaluation and utilization of unconventional resources, Professor Chen and his team from University of Calgary, Canada, reviewed the advances and challenges in transient linear flow oriented straight-line analysis technique for the evaluations of unconventional reservoirs. “Despite the effectiveness and simplicity of the straight line analysis (SLA) method, there is a lack of a comprehensive guide for applying SLA in various transient linear flow regimes and different unconventional reservoirs,” remarks Prof. Chen regarding the motivation for their study. Their findings were published in Volume 3, Issue 1 of the journal Energy Reviews in March 2024.  In the review article, the team summarizes the classification of transient linear flow, basic straight-line analysis technique and its modification method for different reservoirs, its special application in core analysis and flowback analysis, and they propose the future research direction and challenges of this technique.

Transient linear flow (TLF) is the dominant flow regime in hydraulically fractured wells drilled in unconventional reservoirs, such as hydraulically fractured vertical wells (HFVWs) and multi-fractured horizontal wells (MFHWs). There are generally two common transient linear flows, i.e., formation linear flow and fracture linear flow. According to the relationship between fractures, wells, and the formation, TLF can be further divided into four types: intra-fracture transient linear flow (IFTLF), bi-linear flow, inter-fracture formation transient linear flow (IFFTLF), inter-well formation transient linear flow (IWFTLF).

Analyzing different types of transient linear flows can provide various information related to fractures and wells, such as fracture half-length, fracture conductivity, fracture width, and effective producing well half-length.

Modifying straight-line analysis techniques for the storage and flow characteristics in different reservoirs is essential. This can enhance the accuracy of parameter estimation and broaden the application scope of the technique while retaining its simplicity and ease of operation.

Compared to other methods, such as numerical simulation, using transient linear flow oriented straight-line analysis method to obtain information related to different fractures and fluid reserves is convenient, timesaving, and reasonably accurate. The alternative straight-line analysis method introduced in the article is still in the early stages of development. Certain reservoir or flow characteristics may affect the appearance of straight-line segments in the straight-line analysis method, such as multiphase flow, reservoir heterogeneity, and anomalous diffusion, etc. Therefore, in subsequent research, improvements can be made to the alternative straight-line analysis method to address these characteristics. Additionally, Bayesian algorithms or other machine learning algorithms can also be combined with the straight-line analysis method to narrow down the estimation range of fracture parameters. Moreover, microseismic data and fractal geometry theory can also be applied to straight-line analysis techniques to quantitatively describe complex hydraulic fracture networks, thereby further enhancing the accuracy of fracture parameter estimation.

“The transient linear flow oriented straight-line analysis technique can assist petroleum engineers in understanding the nature of unconventional reservoirs by extracting information about the reservoirs, fractures, and reserves,” says Prof. Chen, underlining the significance of their study. “This provides a prerequisite for establishing long-term comprehensive development plans for unconventional reservoirs. Moreover, it can offer strong support for designing CO₂ storage plans for depleted unconventional reservoirs in the future."

***

Reference

DOI: https://doi.org/10.1016/j.enrev.2023.100056

Authors:

Dan Xue^a, Liangliang Jiang^a, Zixiang Wei^a, Maojie Chai^a, Jiang Liu^a,b, Peng Deng^a, Fuhe Lin^a, Jian li^c, Jiansheng Zhang^d, and Zhangxing Chen^a,e,f

Affiliations

^aDepartment of Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

^bGuangdong University of Petrochemical and Technology, Maoming, China

^cSchool of Mathematics and Data Science, Shaanxi University of Science and Technology, Xi’an, China

^dDepartment of Energy and Power Engineering, Tsinghua University, Beijing, China

^eEastern Institute for Advanced Study, Ningbo, China

^fChina University of Petroleum (Beijing), Beijing, China

About Professor Zhangxing (John) Chen from University of Calgary

Professor Zhangxing (John) Chen holds the NSERC/Energi Simulation Industrial Research Chair and Alberta Innovates Industrial Chair at the University of Calgary. His PhD (1991) is from Purdue University, USA. He has authored/co-authored 25 books, published over 1,000 research articles, and owned 37 patents. Dr. Chen is a Fellow of the Royal Society of Canada, Canadian Academy of Engineering and Energy Institute of Canada, and an Academician of Chinese Academy of Engineering and European Union Academy of Sciences, and an Academician of the US National Academy of Engineering. Dr. Chen has received numerous prestigious awards, such as The Friendship Medal of The People’s Republic of China, 2020, NSERC’s Synergy Award for Innovation, The Outstanding Leadership in Alberta Technology Award, IBM Faculty Award, Imperial Oil Research Award, Fields-CAIMS Prize, Gerald J. Ford Research Fellowship Award, and SPE’s (Society of Petroleum Engineering) Technical Excellence and Achievements Award. His publications have received 23,400 citations and an H-index of 66 (Google Scholar); according to Elsevier Scopus, his publications have been ranked #1 in terms of the overall scholarship (numbers of papers, citations and H-index) in the area of reservoir simulation in the world. His research interest is in Reservoir Engineering, Reservoir Simulation and Hydrogen Production.

About Energy Reviews

Energy Reviews is an international, interdisciplinary, high-quality, open-access academic journal in the field of energy, which is published by the Elsevier publishing group. Energy Reviews invites high-quality reviews at the forefront of research in a broad range of topics covering not only materials, chemistry, and engineering, but also new energy devices, applications, methods, tools, theories, policy and management. The following areas will be prioritized, but not exclusively:

1. New theories, methods and technologies for energy research

2. Interdisciplinary research of materials, physics, chemistry and biology in energy

3. Low-carbon utilization of fossil fuel and CCUS

4. Advanced hydrogen, renewable energy and energy storage technologies

5. Exploration and applications of novel energy conversion

6. Applications of AI, big data in energy

Website: https://www.sciencedirect.com/journal/energy-reviews