Investigation of the initiation pressure and fracture geometry of fractured deviated wells

Zeng, Fanhui; Cheng, Xiaozhao; Guo, Jianchun; Chen, Zhangxin; Xiang, Jianhua

doi:10.1016/j.petrol.2018.02.029

Cited by 25 publications

(6 citation statements)

References 33 publications

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“…The simulation results indicated that polymer degradation, polymer solution shear thinning, and heavy oil TPG all exerted a negative impact on PF performance. To reduce their negative effects, several approaches such as the application of more stable polymers with better performance and TPG reduction methods have been proposed [ 51 , 52 , 53 , 54 , 55 , 56 ]. In the near future, we will pay closer attention to these methods and attempt to study PF in heterogeneous heavy oil reservoirs based on a microscopic perspective, in order to enrich and deepen our research [ 57 , 58 ].…”

Section: Discussionmentioning

confidence: 99%

Polymer Flooding in Heterogeneous Heavy Oil Reservoirs: Experimental and Simulation Studies

Xin

et al. 2021

Polymers

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Polymer flooding (PF) in heterogeneous heavy oil reservoirs is not only closely related to polymer degradation, but also to non-Newtonian flow. In this paper, both experimental and simulation methods are combined to investigate this type of flooding. Through experiments, the degradation of polymer, rheological properties of fluids, and flow of fluids in porous media were determined. Based on the experimental results, a novel mathematical model was established, and a new PF simulator was designed, validated, and further applied to study the effects of polymer degradation, polymer solution shear thinning, and non-Newtonian flow on PF in heterogeneous heavy oil reservoirs. These experimental results demonstrated that the polymer first-order static degradation rate constant was lower than the polymer first-order dynamic degradation rate constant; the polymer solution and heavy oil were non-Newtonian fluids, with shear thinning and Bingham fluid properties, respectively; and the heavy oil threshold pressure gradient (TPG) in low-permeability porous media was higher than that in high-permeability porous media. All comparison results showed that the designed simulator was highly accurate and reliable, and could well describe both polymer degradation and non-Newtonian flow, with special emphasis on the distinction between polymer static and dynamic degradation and heavy oil TPG. Furthermore, the simulation results verified that polymer degradation, polymer solution shear thinning, and heavy oil TPG all had negative effects on the efficiency of PF in heterogeneous heavy oil reservoirs.

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Section: Discussionmentioning

confidence: 99%

Polymer Flooding in Heterogeneous Heavy Oil Reservoirs: Experimental and Simulation Studies

Xin

et al. 2021

Polymers

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“…Based on the hydraulic fracturing model [13], which was proposed for the prediction of longitudinal fracture initiation, the fracture initiation models [14][15][16][17] for different fracture patterns were improved with regard to the tensile strength, fluid seepage and fracture toughness. Besides, the change in the fracture initiation with well type, the in-situ stress regime, multiple fractures and perforation parameters had been analysed deeply [4,[18][19][20][21][22][23]. Hossain et al [3] estimated the fracture initiation location (FIL) and the orientation and location on the wellbore by developing a generic model for arbitrarily oriented wells.…”

Section: Introductionmentioning

confidence: 99%

A Case Study on the Optimal Design of the Horizontal Wellbore Trajectory for Hydraulic Fracturing in Nong’an Oil Shale

et al. 2020

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A horizontal well with hydraulic fractures is key to forming a fracture network in oil shale for the generated hydrocarbon flows. By considering the influence of anisotropic strength, a prediction model is proposed for fracture initiation by studying different fracture initiation modes (FIMs) in oil shale: failure of the intact rock matrix and of the bedding planes. Through a case study on Nong’an oil shale, the influences of wellbore trajectory and bedding planes on the fracture initiation pressure (FIP), location (FIL), and FIM were analyzed and the induced changes in wellbore trajectory design were concluded. The preferred angle between the wellbore axis and the minimum horizontal principal stress was the same of 90° or 270°, when the lowest required FIP corresponded to the failure of the intact rock matrix. However, when the angle corresponded to the failure of the bedding planes, the preferred direction of the wellbore axis was away from the fixed direction and not corresponding to the lowest required FIP due to the fracture morphology. The error between the theoretical and experimental results ranges from 7% to 9%. This research provides a framework for the design of horizontal wellbore trajectories in oil shale, for easier fracture initiation and more complex fracture networks.

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“…Although domestic oil and natural gas reserves are plentiful in China, production has been restricted by the lack of means of selecting the most economically suitable wells for stimulation [4][5][6][7]. Selecting among candidate wells for stimulation is a complex process involving several different criteria and experts with different backgrounds [8][9][10][11][12][13][14][15]. In addition, policies for selecting among candidate wells generally have a number of objectives that should be stated clearly.…”

Section: Introductionmentioning

confidence: 99%

Optimal Selection of Stimulation Wells Using a Fuzzy Multicriteria Methodology

Zeng

Wang

Guo

et al. 2019

Mathematical Problems in Engineering

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Choosing the most appropriate wells for stimulation is one of the greatest challenges affecting reservoir production and economic development. In this paper, an integrated fuzzy decision-making methodology is developed to choose the most appropriate stimulation wells based on a number of criteria. The presented approach is able to determine the final decision priorities for multiple candidate wells considering uncertainty, incomplete information, and the large number of factors involved. The proposed modelling framework works as a stepwise procedure to fuse several different methods with combined benefits. The analytic hierarchy process (AHP) method is adopted to build the factor framework. Grey theory is introduced to determine the influence weights of factors, and combined with the fuzzy logic concept, these values are used to rank candidate wells. A field application shows that the presented method is able to identify the wells with the highest potential for enhanced production.

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Investigation of the initiation pressure and fracture geometry of fractured deviated wells

Cited by 25 publications

References 33 publications

Polymer Flooding in Heterogeneous Heavy Oil Reservoirs: Experimental and Simulation Studies

Polymer Flooding in Heterogeneous Heavy Oil Reservoirs: Experimental and Simulation Studies

A Case Study on the Optimal Design of the Horizontal Wellbore Trajectory for Hydraulic Fracturing in Nong’an Oil Shale

Optimal Selection of Stimulation Wells Using a Fuzzy Multicriteria Methodology

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