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13th International Field Exploration and development Conference, IFEDC 2023

作者： Xiao, Yue Zhou, Tuo Li, Hangyuan Kong, Xiangji Song, Lu Diao, Shunong Liu, Jitong Zhong, Zhao Jin, Yulai Li, Bingrou CNPC Engineering Technology R&D Company Limited Beijing102206 China China National Oil and Gas Exploration and Development Corporation Beijing China National Engineering Research Center for Oil and Gas Drilling and Completion Technology Beijing China College of Petroleum Engineering Beijing China

ISBN: (纸本)9789819702558

The quality of drilling wellbore is crucial for oilfield companies to evaluate the construction acceptance of drilling operations, evaluate the wellbore quality before cementing operations, and smoothly implement subsequent casing and electrical logging tools. At present, the evaluation of wellbore quality only requires dispersed trajectory parameters of different well sections (well inclination angle, dog leg angle, target range), and only considers whether the trajectory parameters are within the qualified range during completion acceptance. A quantitative scoring method for wellbore quality has not yet been developed, which is not conducive to the evaluation of well quality by oilfield enterprises during drilling completion acceptance. In this paper, the key parameters such as deviation measurement interval, dogleg degree, maximum deviation and target hit are comprehensively considered. Based on the comprehensive method of mathematical statistics and Matlab programming calculation, a multi-level quantitative scoring model of well bore quality is established. The key parameters in the multi-level quantitative model of well bore quality are determined by using the main control factor analysis method of random forest algorithm. Taking the A oil field as an example, a quantitative scoring was conducted on the quality of 74 drilled wells in 2021 to evaluate the effectiveness of the operation team in controlling well quality. The analysis results showed that for the A oil field, the importance of factors affecting well quality was as follows: maximum inclination > Target radius > dog leg = survey interval. Crew 1 had better control over well quality, and the proportion of high-quality wells in 2021 decreased compared to 2020, The analysis results of the multi-level well bore quality quantification method based on random forest algorithm proposed in this paper are in line with the field work practice, which provides a theoretical basis for well bore quality quantificati

关键词： MATLAB

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Analysis and Study on Application Conditions of Carbon Dioxide Dry Sand Fracturing 12th

Analysis and Study on Application Conditions of Carbon Dioxi...

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12th International Field Exploration and development Conference, IFEDC 2022

作者： Zheng, Wei-Shi Drilling and Production Engineering Technology Research Institute CNPC Chuanqing Drilling Engineering Company Limited Sichuan Chengdu China National Engineering Laboratory for Low-Permeability Oil and Gas Field Exploration and Development Shaanxi Xi’an China

ISBN: (纸本)9789819919635

Liquid carbon dioxide sand fracturing can effectively reduce the reservoir permeability damage caused by liquid retention, retain high supporting fracture conductivity, realize rapid flowback rate, and adsorb and analyze free natural gas. It is a very promising stimulation technology. However, there are few reports on the research and analysis of reservoir adaptability of liquid carbon dioxide sand fracturing. Combined with the characteristics of liquid carbon dioxide sand fracturing, this paper analyzes and studies the reservoir adaptability of liquid carbon dioxide sand fracturing from the aspects of reservoir conditions, proppant compatibility, engineering technical conditions and construction safety analysis, so as to promote the popularization and application of liquid carbon dioxide sand fracturing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Carbon dioxide

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Machine Learning Based CBM Well Multimodal Productivity Prediction and Drainage Optimization 12th

Machine Learning Based CBM Well Multimodal Productivity Pred...

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12th International Field Exploration and development Conference, IFEDC 2022

作者： Fang, Ye-Xin Wu, Jia-Yi Chen, Zan Yang, Xiang-Tong Ma, Ru-Tao Lian, Zhi-Long Qiao, Yan CNPC Engineering Technology R & D Company Limited Beijing China Institute of Exploration and Development SINOPEC Shanghai Offshore Oil and Gas Company Shanghai China Sinopec Petroleum Exploration and Production Research Institute Beijing China

ISBN: (纸本)9789819919635

Low permeability in most Chinese coalbed methane (CBM) reservoir would cause stress sensitivity and pulverized coal blockage. These damages seriously lower well productivity. The rationality of drainage system is one of the most important subjective factors that affect well productivity. This paper analyzes and processes the production data of an actual CBM reservoir in Sichuan province and establishes a machine learning based multimodal productivity prediction model for CBM wells. Using different parameter combinations to characterizes the drainage system and establishes a quantitative drainage Bayesian optimization model. The application in the actual CBM reservoir of this method shows that it can accurately predict the average daily gas production, gas breakthrough time and stable gas production. It can optimizes a close to platform period of bottom hole pressure, so that the pressure drop can be effectively propagated and the total production of CBM wells can be increased. The machine learning based multimodal productivity prediction model and drainage optimization model can be popularized and applied in Chinese CBM reservoirs and guide production. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Coal bed methane

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development and Application of Full Vector Geosteering Comprehensive Analysis software-OneSteer 11th

Development and Application of Full Vector Geosteering Compr...

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11th International Field Exploration and development Conference, IFEDC 2021

作者： Lin, Wang Wu, Dong Liu, Lifeng Zhu, Weixing Xue, Hongzhi CNPC Engineering Technology R&D Company Limited Beijing China PetroChina Research Institute of Petroleum Exploration and Development Beijing China

ISBN: (纸本)9789811921483

Horizontal well technology is a favorable means for the efficient development of "deep, low permeability, offshore, unconventional" and other complex reservoirs, and its key is to improve the drilling rate of the target geological body. Based on the analysis of the business process and requirements of geosteering, aiming at the geological characteristics of China's continental shale, carbonate and glutenite reservoirs, the key technical problems such as geo-steering based stratigraphic structure model modeling, main LWD instrument curve forward modeling, interactive geological model editing, dynamic extraction of stratigraphic parameters, multi-information fusion seismic inversion and so on have been solved, and a full vector geosteering comprehensive analysis software named OneSteer was developed. The software is applied to the field geo-steering analysis of carbonate reservoir in southwest of China and shale reservoirs in Xinjiang oilfields, which improves the drilling encounter rate, reduces the drilling risk, improves the drilling efficiency, and achieves satisfactory results. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Extraction

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The Study on the Well Dormancy Happened in the Majiagou Limestone Reservoir in Sulige Oilfield 13th

The Study on the Well Dormancy Happened in the Majiagou Lime...

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13th International Field Exploration and development Conference, IFEDC 2023

作者： Su, Weidong Zheng, Weishi Dong, XianPeng Xu, Yang Jiang, Wenxue Wang, Xiaoqing Wu, Yuerong Drilling & Production Engineering Technology Research Institute CNPC Chuanqing Drilling Engineering Company Limited Chengdu China National Engineering Laboratory for Low-Permeability Oil and Gas Field Exploration and Development Xi’an China The Fifth Oil Production Plant of Changqing Oilfield Branch of PetroChina Xi’an China

ISBN: (纸本)9789819702558

In most cases, the wells with high production often behave as a rapid pressure recovery and a shorter time for flow back process because their more sufficient and persistent energy for driving the fracturing fluid flow back from the welldown. However, a "Well dormancy" behavior happened in several wells with high production in the limestone reservoir in Sulige oilfield. The "Well dormancy" performed that the fracturing acid fluid injected into the reservoir could not flow back from the wellbore at the first period, lasts 1 to 3 days, after the treatment, then the fracturing acid fluid flowed back suddenly and the wellhead pressure increased rapidly. On the contrary, that case did not happen in the gas well with low production. In order to understand this "Well dormancy" phenomenon, this paper analysed some factors influencing fluid’s flowback performance. Through the comparison with the normal ones, it was found that the permeability of the reservoir is the key factor leading to this phenomenon. Based on the leakoff experiments, it was found that the filter cake developed on the fracture walls is the direct cause lead to this "well dormancy" phenomenon. In addition, experiments for testing the break times of filter cakes were carried out. The experimental results showed that the filtercake’s break time was nearly equivalent to the well dormancy time. In order to avoid this case happen again, there are two optimistic advices, increase pump rate of acid fracturing and improve the performance of the breaker, be proposed. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Limestone

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Lithology Identification of Improved Model based on DeepLabv3 + Deep Convolutional Neural Network

Lithology Identification of Improved Model based on DeepLabv...

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2024 International Conference on New Trends in Computational Intelligence, NTCI 2024

作者： Wang, Ju Yin, Senlin Hu, Zhangming Bai, Kai College of Computer Science and Technology Yangtze University Hubei China Research Institute of Mud Logging Technology and Engineering Yangtze University Hubei China Hubei Provincial Key Laboratory of Southern Complex Shale Oil and Gas Geology and Development Hubei Province Wuhan China Xibu Drilling Engineering Company Limited Engineering and Technology Division of CNPC China

ISBN: (纸本)9798331517021

Aiming at the complexity of outcrop lithology identification, an improved outcrop lithology identification algorithm based on DeepLabv3 + is proposed. We use the Xception network replaced by the MobileNetV2 module to enhance the ability to extract lithologic features and make the model more lightweight. In order to segment pixels more accurately, the CA (Coordinate attention) attention mechanism is introduced, so that the improved backbone network can extract lithologic features more accurately in complex environments. The experimental results show that compared with the traditional DeepLabv3 +, the accuracy of the improved algorithm is increased by 1.08 percentage points, the MP A is increased by 2.4 percentage points, and the average classification accuracy is 94.86 %. Compared with other mainstream semantic segmentation models, all aspects of performance are more prominent. © 2024 IEEE.

关键词： Semantic Segmentation

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Removing Water Blocking Damage in HTHP Tight Gas Reservoir Using Alternative Fracturing Fluid

Removing Water Blocking Damage in HTHP Tight Gas Reservoir U...

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2022 SPE Conference at Oman Petroleum and Energy Show, OPES 2022

作者： Liu, Huifeng Zhang, Jianli Liu, Jiangyu Yang, Zhanwei Chen, Tie Gu, Yixin Baletabieke, Bahedaer CNPC Engineering Technology R&D Company Limited China National Oil & Gas Exploration & Development Company China PetroChina Tarim Oilfield Company China Research Institute of Petroleum Exploration and Development PetroChina China

ISBN: (纸本)9781613997062

Tight gas reservoir is easily damaged by liquid phase because of the small pores and throats in the formation. Hydraulic fracturing is usually used in this kind of reservoir to improve well productivity;however, sometimes the productivity declines instead of increasing after treatments because of the damage of the water-based stimulation fluids. This paper introduces a production decline case in the HTHP tight gas reservoir in Tarim Basin, Western China, and provides a new solution. Dixi gas reservoir belongs to the formation of Jurassic Ahe Group, with burial depth of about 5000m. The formation porosity is between 3.0-7.0%, and the permeability is less than 0.1mD. The average DST production rates of three wells in this area were more than 30×104 m3/d. However, the production declined by 40% after completion. Acidizing and proppant fracturing were both conducted to regain their productivities;however, the production rates were reduced even further after the treatments. One of these wells’ daily production rate declined by 78% compared to DST production after use of acid fracturing and hydraulic fracturing. A series of core flow tests were carried out to find out the causes and solutions. The results showed that the retention of fracturing fluid in the formation caused "water blocking damage", which leaded to a significant increase of water saturation and rapid decline of gas phase permeability. This is considered the main cause of well productivity decline. Therefore, minimizing the capillary force in the formation is considered the main approach to remove the damage. Three series of alternative fracturing fluids were developed and evaluated. The first one is fracturing fluid with methanol. 5%-20% methanol was added to the fracturing fluid to relieve water blocking damage. The results showed that most of the wells fractured by methanol fracturing fluid gained good post-fracturing productivity. Fluorocarbon surfactant fracturing fluid was also developed, in which the

关键词： Fracturing fluids

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Forecasting oil production in unconventional reservoirs using long short term memory network coupled support vector regression method: A case study

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Petroleum 2023年第4期9卷 647-657页

作者： Shuqin Wen Bing Wei Junyu You Yujiao He Jun Xin Mikhail A.Varfolomeev National Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengdu610500China School of Petroleum and Natural Gas Engineering Chongqing University of Science and TechnologyChongqing401331China Research Institute of Geological Exploration and Development CNPC Chuanqing Drilling Engineering Limited CompanyChengdu610051China Department of Petroleum Engineering Kazan Federal UniversityKremlevskaya Str.18Kazan420008Russia

Production prediction is crucial for the recovery of hydrocarbon ***,accurate and rapid production forecasting remains challenging for unconventional reservoirs due to the complexity of the percolation process and the scarcity of available *** address this problem,a novel model combining a long short-term memory network(LSTM)and support vector regression(SVR)was proposed to forecast tight oil *** variables,the tubing head pressure,nozzle size,and water rate were utilized as the inputs of the presented machine-learning workflow to account for the influence of operational *** time-series response of tight oil production was the output and was predicted by the optimized LSTM *** SVR-based residual correction model was constructed and embedded with LSTM to increase the prediction *** studies were carried out to verify the feasibility of the proposed method using data from two wells in the Ma-18 block of the Xinjiang *** curve analysis(DCA)methods,LSTM and artificial neural network(ANN)models were also applied in this study and compared with the LSTM-SVR model to prove its *** was demonstrated that introducing residual correction with the newly proposed LSTM-SVR model can effectively improve prediction *** LSTM-SVR model of Well A produced the lowest prediction root mean square error(RMSE)of 5.42,while the RMSE of Arps,PLE Duong,ANN,and LSTM were 5.84,6.65,5.85,8.16,and 7.70,*** RMSE of Well B of LSTM-SVR model is 0.94,while the RMSE of ANN,and LSTM were 1.48,and 2.32.

关键词： Tight oil Production forecast LSTM-SVR Residual correction

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Shape Memory Resin with High-Temperature Resistance Plugging Fracture Formations in Oil-Based Drilling Fluid

SSRN

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SSRN 2024年

作者： Zhao, Zhen Sun, Jinsheng Wang, Ren Liu, Fan Cheng, Rongchao Qu, Ruanzhi Hao, Huijun Bai, Yingrui Li, Yingying Geng, Yuan CNPC Engineering Technology Research and Development Company Limited Beijing102206 China Research Institute of Petroleum Exploration & Development Beijing100083 China Qingdao266580 China

The lost circulation usually happens when drilling in fracture formations, using oil-based drilling fluid (OBDF). In this paper, the synthesized shape memory epoxy resins EHN0.8, EHN0.9 and EHN1 with a molar ratio of 1:0.8,1:0.9 and1:1 (epoxy resin to curing agent) have a Tg range from 94 to 122°C and were utilized to control lost circulation in OBDF. The thickness swelling rate (Rs) of EHN was optimized by an orthogonal experiment, and their Rs prepared under the optimal conditions (OEHN0.8, OEHN0.9 and OEHN1) is 86.67, 79.94 and 74.6 %, respectively. The particle size reduction rate of OEHN1 was no more than 5% after aging at 150°C in oil, which was 1/4 of that of the nutshell. At a heating rate of 1, 5 and 10 °C/min, the shape memory rate (Rc) of OEHN1 needed 107, 24 and 14 min to reach 100 % in the temperature range of 30-150°C, respectively. The Rc of OEHN1 reaches to 10, 28 57, and 97% at 80, 100 and 120 and 125°C within 60 min respectively. Besides, it need10 and 4 min to recover to 100 % at 135 and 150°C, respectively. OEHN1 did not recover below 80°C, partially recovered at 80-120°C, and completely recovered above 125°C (>Tg). When plugging the wedge fracture with inlet and outlet fracture widths of 3 mm and 1 mm at 80-150°C, the formula 2 (F2) containing OEHN1 has lower fluid loss and stabler pressure bearing capacity under 15 MPa. When plugging the wedge fracture with inlet and outlet fracture widths of 4 and 2 mm, F2 can withstand a pressure of 5 MPa at 80°C and 15 MPa at 120°C and 150°C. OEHN1 has excellent temperature responsiveness and plugging performance. They transform from the glassy state to the rubber state after full activation at 125-150°C. They became elastic particles and expanded from flakes to cubes, which was capable of adapting the different cracks sizes. In addition, they bridge, accumulate, fill and compact in the cracks with other lost circulation materials, forming a force chain network to improve the stability of the plugging layer.

关键词： Epoxy resins

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EBFT: Efficient BFT Consensus through Shortcut Replies 21

EBFT: Efficient BFT Consensus through Shortcut Replies

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21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Lei, Qingsheng Xia, Yongjun Guo, Qitao Hao, Rui Dai, Xiaohai Dai, Weiqi Economic & Technology Research Institute State Grid Hubei Electric Power Company Limited China Hubei Central China Technology Development of Electric Power Company Limited China Software Institute Nanjing University China Huazhong University of Science and Technology School of Computer Science and Technology China Huazhong University of Science and Technology School of Cyber Science and Engineering China

ISBN: (纸本)9798350329223

As the core building block of blockchain technology, Byzantine Fault Tolerance (BFT) consensus has gathered renewed attention during the past decade. A large number of BFT consensus protocols have been proposed since its inception in the 1980s, the best-known of which is Practical Byzantine Fault Tolerance (PBFT). Generally speaking, PBFT consists of two sub-protocols: normal-case protocol and view-change protocol. However, it requires 7 δ for a client to commit a request in the normal case, where δ represents the actual network delay. If a request happens to go through the view change process, it will take additional 7 δ for a client to commit a request. To reduce the consensus latency, we propose a novel BFT consensus protocol named EBFT, which introduces the shortcut replies to the consensus design. With these shortcut replies, EBFT reduces the normal-case latency and view-change latency to 5 δ and 2 δ, respectively. Extensive experiments are conducted to evaluate EBFT, whose results demonstrate its effectiveness. © 2023 IEEE.

关键词： Fault tolerance

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