Research Advance on Prediction and Optimization for Fracture Propagation in Stimulated Unconventional Reservoirs

Huang, Luoyi; Lu, Mingjing; Sheng, Guanglong; Gong, Jie; Ruan, Jiayu

doi:10.2113/2022/4442001

Cited by 5 publications

(1 citation statement)

References 166 publications

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“…The simulation methods of fracture propagation are mainly divided into the finite element method (FEM), extended finite element method (XFEM), boundary element method (BEM), and unconventional fracture propagation model (UFM) (Li and Wang, 2005;Olson, 2008;Zhou et al, 2020;Huang et al, 2021b). Dali Taleghani (2010) used the XFEM to simulate the fracture propagation of hydraulic fracturing vertical wells in shale reservoirs.…”

Section: Introductionmentioning

confidence: 99%

Research on the data-driven inter-well fracture channeling identification method for shale gas reservoirs

He,

Yue,

Zhou

et al. 2024

Front. Earth Sci.

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The issue of inter-well fracture channeling in shale reservoirs is becoming increasingly prominent, significantly impacting the production of nearby wells. Therefore, it is crucial to accurately determine the location of fracture channeling in order to effectively design anti-channeling measures and optimize reservoir fracturing. In this paper, a data-driven fracture propagation model and fracture channeling identification method are established. In the model, the fracture morphology is fitted by the bottom-hole flowing pressure constraint. The bottom-hole flowing pressure (pwp) calculated by the construction pump pressure and the fluid wellbore flow is mainly considered as the real solution. The bottom-hole flowing pressure (pwf) calculated by the construction displacement and the fracture morphology is used as the constraint variable, and the fracture parameters are changed using the SPSA optimization algorithm to realize the dynamic fitting of the fracture morphology. In order to accurately describe the position of fracture channeling, the seepage radius of the fracture boundary is introduced to calculate the volume of fracture reconstruction. The volume coefficient of repeated reconstruction is used as the quantitative evaluation index of fracture channeling. This approach enables an accurate depiction of the position of fracture channeling. Finally, the model method is applied to the actual fracture channeling well. The study shows that the fracture length of the well inversion is greater than the well spacing, and there is a possibility of inter-well fracture channeling. The volume coefficient of repeated reconstruction is 8%, similar to the critical fracture channeling index. There are nine fracturing sections with fracture channeling, and the maximum fracture channeling coefficient is 14.2%. This paper successfully explains the reason for cross-well fracture channeling, and its conclusion aligns with the actual monitoring results. The proposed method in this paper effectively identifies the location of fracture channeling and offers guidance for optimizing channeling prevention in subsequent designs.

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Section: Introductionmentioning

confidence: 99%

Research on the data-driven inter-well fracture channeling identification method for shale gas reservoirs

He,

Yue,

Zhou

et al. 2024

Front. Earth Sci.

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Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development

Yang

2024

J Petrol Explor Prod Technol

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The accuracy of predicting waterflooding performance is crucial in determining the scale of investment for oilfield development. However, existing common waterflooding prediction models often relies on assumptions that may not apply universally or lack theoretical derivation through statistical analysis. This has led to unsatisfactory prediction accuracy and multiple potential solutions. To address these limitations, it is proposed to incorporate the oil/water relative permeability ratio model into the derivation process of waterflooding prediction models. Initially, an evaluation of prevalent oil/water relative permeability ratio models is conducted, along with an analysis of their primary constraints. Additionally, the applicability of the analytical relative permeability model is thoroughly examined. Building upon the analytical relative permeability model and a modified Welge equation, a new waterflooding model is formulated, encompassing all pertinent physical coefficients. Notably, this model aligns seamlessly with the commonly used Arps’ decline curve, while extending its applicability to a broader range of conditions. Moreover, it can be simplified to generate typical water drive curves under suitable circumstances. The semi-log relationship between oil/water relative permeability ratio and water saturation is further simplified into a linear relationship or a multi-term formula. Compared with the traditional waterflooding model, the new model proposed in this research has a wider application range and can be applied to oilfield at high water cut. At the same time, the new model clarifies the coefficient of waterflooding curve A and the physical meaning of parameter 7.5 in Tong’s chart method for the first time. The new model proposed in this research further enriches the connotation of waterflooding theory and has certain application significance.

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Experimental and simulation study on deep reservoir fracturing technology: A review and future perspectives

Qin,

Zhou,

Wei

et al. 2024

Geoenergy Science and Engineering

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Research Advance on Prediction and Optimization for Fracture Propagation in Stimulated Unconventional Reservoirs

Cited by 5 publications

References 166 publications

Research on the data-driven inter-well fracture channeling identification method for shale gas reservoirs

Research on the data-driven inter-well fracture channeling identification method for shale gas reservoirs

Further study on oil/water relative permeability ratio model and waterflooding performance prediction model for high water cut oilfields sustainable development

Experimental and simulation study on deep reservoir fracturing technology: A review and future perspectives

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