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Evaluation of hydraulic fracturing of horizontal wells in tight reservoirs based on the deep neural network with physical constraints

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Petroleum Science 2023年第2期20卷 1129-1141页

作者： Hong-Yan Qu Jian-Long Zhang Fu-Jian Zhou Yan Peng Zhe-Jun Pan Xin-Yao Wu State Key Laboratory of Petroleum Resources and Prospecting China University of PetroleumBeijing102249China School of Artificial Intelligence China University of PetroleumBeijing102249China Unconventional Oil and Gas Institute China University of PetroleumBeijing102249China School of Petroleum Engineering China University of PetroleumBeijing102249China Key Laboratory of Continental Shale Hydrocarbon Accumulation and Efficient Development Ministry of EducationNortheast Petroleum UniversityDaqingHeilongjiang163318China Engineering Technology Research Institute PetroChina Xinjiang Oilfield CompanyKaramayXinjiang834000China

Accurate diagnosis of fracture geometry and conductivity is of great challenge due to the complex morphology of volumetric fracture network. In this study, a DNN (deep neural network) model was proposed to predict fracture parameters for the evaluation of the fracturing effects. Field experience and the law of fracture volume conservation were incorporated as physical constraints to improve the prediction accuracy due to small amount of data. A combined neural network was adopted to input both static geological and dynamic fracturing data. The structure of the DNN was optimized and the model was validated through k-fold cross-validation. Results indicate that this DNN model is capable of predicting the fracture parameters accurately with a low relative error of under 10% and good generalization ability. The adoptions of the combined neural network, physical constraints, and k-fold cross-validation improve the model performance. Specifically, the root-mean-square error (RMSE) of the model decreases by 71.9% and 56% respectively with the combined neural network as the input model and the consideration of physical constraints. The mean square error (MRE) of fracture parameters reduces by 75% because the k-fold cross-validation improves the rationality of data set dividing. The model based on the DNN with physical constraints proposed in this study provides foundations for the optimization of fracturing design and improves the efficiency of fracture diagnosis in tight oil and gas reservoirs.

关键词： Evaluation of fracturing effects tight reservoirs Physical constraints Deep neural network Horizontal wells Combined neural network

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Further discussion of CO_(2) huff-n-puff mechanisms in tight oil reservoirs based on NMR monitored fluids spatial distributions

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Petroleum Science 2023年第1期20卷 350-361页

作者： Wei-Yu Tang James J.Sheng Ting-Xue Jiang Unconventional Petroleum Research Institute China University of PetroleumBeijing102249China Bob L.Herd Department of Petroleum Engineering Texas Tech UniversityLubbockTX79409USA Sinopec Research Institute of Petroleum Engineering Beijing100101China

Due to the poor physical properties of tight reservoirs,CO_(2) huff-n-puff(HNP)is considered a potential enhanced oil recovery(EOR)method after primary depletion.Optimization plays a critical role in the effective implementation of CO_(2) huff-n-puff.But the optimization requires a good understanding of the EOR mechanisms.In this work,the spatial distribution of oil saturation under different experimental conditions was analyzed by the NMR method to further discuss the HNP mechanisms.According to the variation of 1D frequency signal amplitude,we divided the core into the hardly movable area and movable area,the region with the obvious signal decline was defined as the movable area,and the hardly movable area was the region with limited signal decline.Based on that the recovery characteristics of different scenarios were evaluated.Firstly,the necessity of the soaking stage was studied,where three scenarios with different soaking times were carried out.Secondly,the injection pressure was adjusted to investigate the effect of the pressure gradient.The T_(2) spectra show that soaking has significantly improved the production of crude oil in small pores,and higher oil recovery in a single cycle is observed,but it is lower when the elapsed time(total operation time)is the same.31.03% of oil can be recovered after 3 cycles HNP,which increases to 33.8% and 37.06% for the 4 cycles and 6 cycles cases.As the pressure gradient increases,more oil is removed out of the matrix,and the oil in the deep part of the reservoir can be effectively recovered.During the CO_(2) huff-n-puff process,the oil distributions are similar to the solution gas drive,the residual oil is distributed at the close end of the core and the range that the oil can be efficiently recovered is limited.

关键词： tight reservoirs Low-field nuclear magnetic resonance (NMR) CO_(2)huff-n-puff Enhanced oil recovery

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Geological characteristics and ‘‘sweet area'' evaluation for tight oil

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Petroleum Science 2015年第4期12卷 606-617页

作者： Cai-Neng Zou Zhi Yang Lian-Hua Hou Ru-Kai Zhu Jing-Wei Cui Song-Tao Wu Sen-Hu Lin Qiu-Lin Guo She-Jiao Wang Deng-Hua Li Petro China Research Institute of Petroleum Exploration and Development

tight oil has become the focus in exploration and development of unconventional oil in the world, especially in North America and China. In North America, there has been intensive exploration for tight oil in marine. In China, commercial exploration for tight oil in conti- nental sediments is now steadily underway. With the dis- covery of China＇s first tight oil field--Xin＇anbian Oilfield in the Ordos Basin, tight oil has been integrated officially into the category for reserves evaluation. Geologically, tight oil is characterized by distribution in depressions and slopes of basins, extensive, mature, and high-quality source rocks, large-scale reservoir space with micro- and nanopore throat systems, source rocks and reservoirs in close contact and with continuous distribution, and local ＂sweet area.＂ The evaluation of the distribution of tight oil ＂sweet area＂ should focus on relationships between ＂six features.＂ These are source properties, lithology, physical properties, brittleness, hydrocarbon potential, and stress anisotropy. In North America, tight oil prospects are distributed in lamellar shale or marl, where natural fractures are fre- quently present, with TOC 〉 4 %, porosity 〉 7 %, brittle mineral content 〉 50 %, oil saturation of 50 %-80 %, API 〉 35~, and pressure coefficient 〉 1.30. In China, tight oil prospects are distributed in lamellar shale, tight sand- stone, or tight carbonate rocks, with TOC 〉 2 %, poros- ity 〉 8 %, brittle mineral content 〉 40 %, oil saturation of 60 %-90 %, low crude oil viscosity, or high formation pressure. Continental tight oil is pervasive in China and its preliminary estimated technically recoverable resources are about （20-25） × lO8^ t.

关键词： tight oil Geological features ＂Sweet area＂evaluation tight reservoirs Unconventional oil and gas Shale oil

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Revolutionizing tight Reservoir Production: A Novel Dual-Medium Unsteady Seepage Model for Optimizing Volumetrically Fractured Horizontal Wells

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Energy Engineering 2023年第12期120卷 2933-2949页

作者： Xinyu Zhao Mofeng Li Kai Yan Li Yin School of Geosciences Yangtze UniversityWuhan430100China Downhole Service Company Petro China Qinghai Oilfield CompanyHaixi817000China Drilling and Production Technology Research Institute Petro China Qinghai Oilfield CompanyHaixi817000China

This study presents an avant-garde approach for predicting and optimizing production in tight reservoirs,employing a dual-medium unsteady seepage model specifically fashioned for volumetrically fractured horizontal wells.Traditional models often fail to fully capture the complex dynamics associated with these unconventional reservoirs.In a significant departure from these models,our approach incorporates an initiation pressure gradient and a discrete fracture seepage network,providing a more realistic representation of the seepage process.The model also integrates an enhanced fluid-solid interaction,which allows for a more comprehensive understanding of the fluid-structure interactions in the reservoir.This is achieved through the incorporation of improved permeability and stress coupling,leading to more precise predictions of reservoir behavior.The numerical solutions derived from the model are obtained through the sophisticated finite element method,ensuring high accuracy and computational efficiency.To ensure the model’s reliability and accuracy,the outcomes were tested against a real-world case,with results demonstrating strong alignment.A key revelation from the study is the significant difference between uncoupled and fully coupled volumetrically fractured horizontal wells,challenging conventional wisdom in the field.Additionally,the study delves into the effects of stress,fracture length,and fracture number on reservoir production,contributing valuable insights for the design and optimization of tight reservoirs.The findings from this study have the potential to revolutionize the field of tight reservoir prediction and management,offering significant advancements in petroleum engineering.The proposed approach brings forth a more nuanced understanding of tight reservoir systems and opens up new avenues for optimizing reservoir management and production.

关键词： tight reservoirs production prediction model stress effects fractured horizontal well

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Some key issues on the unconventional petroleum systems explora

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Petroleum Research 2016年第2期1卷 113-122页

作者： Chengzao Jia Min Zheng Yongfeng Zhang China National Petroleum Corporation Beijing 100742China CNPC Research Institute of Petroleum Exploration and Development Beijing 100083China

Oil and gas currently still hold a leading role in the global energy mix.The recent drastic increase in unconventional oil and gas production contributes significantly to strike a balance between the global demand and supply of oil and gas.However,a range of important fundamental questions about the unconventional oil and gas resources have not been adequately answered.Little is known about the distribution and accumulation patterns,as well as the exploration and development characteristics of unconventional oil and gas.The current status of global oil and gas exploration was reviewed and four key theoretical issues regarding the unconventional oil and gas geology were identified:(1)the traditional concept and definition of“petroleum system”needs to be revisited.The concept of a“holistic-process accumulation”model of a“total petroleum system”in petroliferous basins was proposed to analyze the unconventional hydrocarbon accumulation mechanisms from four key aspects of quantitative studies on hydrocarbon generation-expulsion-migration-accumulation processes.(2)The second issue is related to fine-grained sedimentary system and sedimentary facies of tight reservoirs.Through analyzing the relationship between fine-grained sediments and unconventional hydrocarbon accumulation,three research integration areas were put forward.(3)The third issue is on the micro-nano pore system and fluid phase behavior in shales and tight reservoirs.Five aspects of micro-nano pore system were identified to focus on unconventional hydrocarbon research,and the characteristics of micro-nano pore development and fluid phase behavior in micro-nanopores were elucidated.(4)The fourth issue is related to unconventional hydrocarbon accumulation patterns and resource evaluation.Based on the characteristics of unconventional hydrocarbon accumulation,an evaluation system for unconventional hydrocarbon resources was established and optimized.

关键词： energy consumption unconventional hydrocarbons exploration status petroleum system tight reservoirs micro-nano pore system

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