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作者： Guancheng JIANG Jinsheng SUN Yinbo HE Xin ZHANG Chunyao PENG Tengfei dONG Bin TAN Tie GENG Lili YANG Xiaohu LUO Xuwu LUO Xing LIANG Changwei CHEN Xiaobo LIU rongchao CHENG Jiansheng LUO Jianguo ZHANG Yong WANG daqi FU Qifa rAN Li ZHAO Kaixiao CUI Xiaoxiao NI

标准号: US20230133053(A1)

The present invention relates to the field of petroleum industry phase oilfield chemistry, and specifically relates to a bionic and dual-phobic drilling fluid. The drilling fluid contains a bionic wall-fixing agent, a bionic lubricant, a super dual-phobic agent, a scrap-carrying agent and a bionic shale inhibitor. The present invention uses the theory of bionics and the theory of a downhole rock surface being double phobic as a basis. By means of using the bionic wall-fixing agent, the bionic lubricant, the super dual-phobic agent, the scrap-carrying agent and the bionic shale inhibitor, which have special properties of imitating animals and plants in nature, and using a series of bionic treatment agents, a set of bionic and dual-phobic drilling fluid systems, which corresponds to an unconventional, complex oil and gas well, is formed.

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Investigating the Effect of Geological and engineering Parameters on the Fracture Height Growth in Naturally-Layered Shale reservoirs Using 3d Lattice Method

Investigating the Effect of Geological and Engineering Param...

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2023 Abu dhabi International Petroleum Exhibition and Conference, AdIP 2023

作者： He, rui Zheng, Youcheng Chen, Weihua Lv, Zefei Zeng, Ji Yan, Jie Wang, Tao Wang, Yang Cao, Aiwu Engineering Technology Research Institute PetroChina Southwest Oil & Gasfield Company Sichuan Chengdu China PetroChina Southwest Oil & Gasfield Company Sichuan Chengdu China Hydro-China Itasca R&D Center Zhejiang Hangzhou China

ISBN: (纸本)9781959025078

Numerical investigation of the influence of different parameters on hydraulic fracture propagation is fundamental to guide the fracturing parameters optimization of naturally-layered shale reservoir. The shale reservoir contains a large number of bedding planes with lower strength, which have a great effect on the vertical growth of hydraulic fractures. It is believed that the interaction between hydraulic fractures (HF) and bedding planes (BP) has a significant impact on the fracture geometry. In this paper, we used 3d lattice method to establish the hydraulic fracture modelling with multiple horizontal bedding planes, and this model can consider fluid-mechanical coupling effect and the fluid flow in permeable bedding plane. Based on the model, a sensitivity analysis of the key influencing parameters such as vertical stress, cohesion of bedding plane, permeability of bedding plane, injection rate, and fracturing fluid viscosity on the fracture height growth is implemented. The fracture penetration coefficient and the area coefficient of vertical propagation are introduced to evaluate the penetrating ability, and the degree of influence of each factor on the penetrating ability is analyzed and ranked using grey relational analysis (GrA). The simulation results show that the hydraulic fracture tends to penetrate bedding planes under the condition of high vertical stress, high cohesion of bedding plane, low permeability of bedding plane, high injection rate, and high fracturing fluid viscosity. due to the existence of bedding planes, the morphology of hydraulic fracture is more complex, and the fracture shape presents several forms, typically including "I", "工", and "キ" shape. When the fracture penetration coefficient and the area coefficient of vertical propagation are higher, it is more likely that the hydraulic fracture penetrates the bedding plane directly. Otherwise, it will be arrested and turn to propagate along the bedding planes. Compared with other factors,

关键词： Shale

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real-Life demonstration of Blockchain Based Flexibility Trading Between FSPs and dSO

Real-Life Demonstration of Blockchain Based Flexibility Trad...

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2023 IEEE Asia Meeting on Environment and Electrical engineering, EEE-AM 2023

作者： Gazioglu, Ibrahim Vu Van, Thong Buyuk, Ali Fuat Eren, Tugce Tuan, Le Anh Oana, Carmen Smart Systems R&d Osmangazi Electricity Distribution Company Eskisehir Turkey Emax Brussels Belgium Chalmers University of Technology Department of Electrical Engineering Gothenburg Sweden Simavi Bucharest Romania

ISBN: (纸本)9798350381061

This study demonstrates the flexibility trading process between a distribution system operator (dSO) and potential flexibility service providers (FSPs) using a framework consisting of a blockchain-based P2P trading platform and other auxiliary platforms. Within this framework, a demo study was conducted with real distribution system's assets and systems on the trading platform where the dSO specified its flexibility needs and FSPs were able to offer their flexibilities to support the dSO. In the study, vehicle-to-grid (V2G) compatible electric vehicle charging station and stationary battery storage system were used as flexible assets. The trading process was conducted within the specified time and price range through the platform, involving the FSPs and the dSO. As a result, the flexibility was provided to a local LV grid, leading to a 17% reduction in the load of the distribution transformer owned by the dSO. © 2023 IEEE.

关键词： Vehicle-to-grid

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Achieving Improved drilling Performance with Hole Cleaning technology in Horizontal Shale Gas Wells in Sichuan Basin of China

Achieving Improved Drilling Performance with Hole Cleaning T...

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2021 International Petroleum technology Conference, IPTC 2021

作者： Ji, Guodong Wang, Haige Huang, Hongchun Cui, Meng Yulong, Feixue Ma, Ying Sun, Xiaofeng CNPC Engineering Technology R&D Company Limited Research Institute of Petroleum Exploration and Development PetroChina China Northeast Petroleum University China

ISBN: (纸本)9781613997314

The horizontal section length of shale gas horizontal wells in Sichuan Basin in the south-west of China generally exceeds 2000m. Cuttings are apt to accumulate and form cuttings beds along such long and curve horizontal sections due to low cuttings carrying capacity, which often results in excessive torque and drag or even stuck pipes during drilling process. According to the statistics dada inthe period of Jan. - Oct. 2019, more than 25 stuck pipe incidents and 15 rotary steering tools loss in borehole were reported due to inefficient cuttings transportation in the long horizontal wells in Sichuan Basin. This paper studies the cuttings transportation and cuttings bed formation in horizontal wells. A prediction model for the distribution of cuttings bed was established. A monitoring and analysis software for the cuttings bed and cuttings cleaner with V-shaped spiral blades that is used to agitate the cuttings bed wasdeveloped. The software calculates the distribution and thickness of the cuttings bed according to the well trajectory, wellbore structure, drilling fluid characteristics, etc., and provides the optimal operating parameters for the removal of the cuttings bed by the rotating and reciprocating drill string. Then, the drill cuttings remover in the drill string moves to the predicted position of the drill cuttings, scrapes the drill cuttings and creates a swirling flow during the pipe rotation. The combined application of software and makeup remover can effectively solve the issue of borehole cleaning in long horizontal wells. One of the field applications was carried out in the well Ning 209H12, a shale gas horizontal well in Sichuan Basin. The well experienced excessive torque and drag issue during the tripping of drill string of long horizontal section. Thesoftware ran based on oil well data, and it determines the placement and thickness of cuttings beds in the well and calculates the optimal operating parameters for a flow rate of about 32L/s and a spee

关键词： Horizontal wells

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research on Network Application of Intelligent Campus Based on SdN technology

Research on Network Application of Intelligent Campus Based ...

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Image Processing and Computer Applications (ICIPCA), IEEE International Conference on

作者： Yunyi Mei Qi Shao Qingzhong Gao Tong Zhao Yanlong Zhang Lingzhi Jing Yang Yu CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China Kunlun Digital Technology Co. Ltd. Beijing China CNPC Great Wall Drilling Company Beijing China

There are some problems in traditional network architecture, such as traffic can not be real-time scheduling, business information can not be visualized, operation and maintenance is complex, and fault location efficiency is low. In order to meet the needs of “digital Petroleum” network infrastructure construction, a company introduced SdN technology into the campus office network, and carried out network optimization management and innovation practice, this paper puts forward a network transformation scheme based on SdN “The network follows the people”, through deploying SdN control server and adjusting the network equipment configuration, the office network can be expanded flexibly and maintained efficiently, to meet the needs of different types of application traffic classification management and intelligent precision scheduling, effectively improve the level of intelligent network management.

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Understanding and research on the drilling fluid technology for shale gas horizontal wells in south Sichuan, China

Understanding and research on the drilling fluid technology ...

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International Petroleum technology Conference 2020, IPTC 2020

作者： Yan, Lili Wang, Jianhua Zhang, Jiaqi Cheng, rongchao Yang, Haijun Yang, Haowei CNPC Engineering Technology R&D Company limited China

ISBN: (纸本)9781613996751

recently, shale gas resource has been developed beneficially on a large scale in China. More than 400 shale gas horizontal wells have been drilled in south Sichuan since 2014. However, with the increasing buried depth of target stratum and the extension of horizontal intervals of shale-gas horizontal wells, the development of Chinese shale gas is becoming more and more difficult. Over the past four years, some wellbore instability related issues–stuck pipe and rotary steering system fish downhole occured during drilling the shale gas wells. The reason is particularly analyzed based on the drilling performance data of these horizontal wells, which will offer the establishment of general practice guidelines and recognition of opportunities for improvement in south Sichuan shale drilling. Oil-based drilling fluid (OBM) is a typical drilling fluid type currently used in the south Sichuan shale play. However, water-based mud (WBM) has also been used in more than 60 wells since 2015. It is analyzed the drilling performances of over four hundred horizontal south Sichuan shale wells drilled by 14 operators from 2014 to 2018, including overall drilling days, well depth, lateral length, as well as fish rotary steering systems. A comparative analysis is also made among different drilling fluid types of different operators to assess their performances and to identify the key challenges when drilling south Sichuan shale. The analyses contained formation characteristics, mud chemistry, mud rheological property, plugging property, solid content, stability, density and chloride and so on. Then, lots of experiments are carried out to solve the problems of borehole stability and hole cleaning. The analysis shows that the drilled well depth and the horizontal length are getting bigger and bigger. The overall performance of WBMs lags behind that of OBMs in south Sichuan shale drilling. Most fish rSS happened when the operations of back reaming, pick up stands and trip-out were carried

关键词： Horizontal wells

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A real-Time Friction Prediction Model for in Service drill String Based on Machine Learning Methods Coupling with Mechanical Mechanism Analysis

A Real-Time Friction Prediction Model for in Service Drill S...

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2021 SPE Middle East Oil and Gas Show and Conference, MEOS 2021

作者： Guo, Huijuan Luo, Huaidong Zhan, Guodong Wang, Baodong Zhu, Shuo CNPC Engineering Technology R&D Company Limited CNPC Interational Chad Co. Ltd EXPEC Advanced Research Center Saudi Arabia China University of Petroleum-Beijing China

ISBN: (纸本)9781613997727

With highly deviated wells and horizontal wells are widely used in the oil industry. The large slope well sections and long horizontal well sections will lead to a sharp increase of the drill string torque and friction, which may reduce the drilling efficiency, and even lead to accidents. Therefore, real-time and accurate analysis of drill string's torque and friction is an urgent problem facing by the modern drilling technology. The paper established a real-time friction prediction model that combines machine learning methods with drill string mechanical mechanism analysis model. Based on 84000 sets of field monitoring data obtained on-site, a regular data training set for weight on bit (WOB) and torque prediction was constructed with 23 types of time-series related parameters and 10 types of timing independent parameters. relationships between time-series related parameters and timing independent parameters with the weight on bit and torque were trained to utilize long and short-term memory (LSTM) neural network and muti-layer back propagation (BP) network respectively. The new developed LSTM-BP neural network achieves high-precision prediction results of WOB and torque with a relative error of less than 14%. Based on derived WOB and torque prediction results, a theoretical mechanical analysis model of the entire drill string was adopted in this paper to develop the quantitative relation between WOB and torque with the friction coefficient of the drill string and oil casing. Suitable friction coefficients along the drill string can be finally obtained by solving the equilibrium function between predicted WOB, torque and measured hook load, rotary-table torque via an iteration algorithm. A case study was performed finally using the proposed intelligent analysis method to calculate the friction coefficients. This proposed methodology can be referenced to decrease the sticking risks and improve the drilling efficiency, which can finally increase the extension limit o

关键词： Friction

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Prediction of indoor radio propagation using deep neural network

Prediction of indoor radio propagation using deep neural net...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-UrSI radio Science Meeting, AP-S/UrSI 2023

作者： Nakanishi, Takayuki Shimizu, Kenya Hitomi, Kenzaburo Nishioka, Yasuhiro Inasawa, Yoshio Mitsubishi Electric Corparation Information Technology R&d Center Kanagawa Kamakura-shi247-8501 Japan Mitsubishi Electric Engineering Company Limited Kanagawa Kamakura-shi247-0065 Japan

ISBN: (纸本)9781665442282

radio propagation prediction is important for improving the stability and reliability of wireless communication systems. However, propagation loss prediction models by multiple regression based on measured data have problems in setting appropriate parameters and function types. This paper evaluates a radio propagation model that applies machine learning for indoor environments. The proposed neural network has the input parameters of the environmental characteristics such as floor area, ceiling height, and materials, and a dropout layer that disables the network units randomly is inserted to improve generalization performance. The rMSE (root mean squared error) by the proposed model is less than 5 dB for both training and test data and the proposed model can predict the indoor propagation more accurately than conventional models. © 2023 IEEE.

关键词： deep neural networks

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Interpretable Metric Learning: A Weight distribution Optimization Perspective 11th

Interpretable Metric Learning: A Weight Distribution Optimiz...

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11th International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2023

作者： Miao, Xinyue Xu, Le Wen, Zhang Zhang, Lei Wei, Zhiqiang Wu, Changtao Shang, Zhengkai Wang, Kelin deng, Qianxing Wei, Fuyuan Liu, Liyan R&D Center for Ultra Deep Complex Reservior Exploration and Development CNPC Xinjiang841000 China Network and Information Center Southwest Petroleum University Sichuan Province Chengdu610500 China Tarim Oilfield Branch Company Petrochina Xinjiang841000 China School of Computer Science and Software Engineering Southwest Petroleum University Chengdu China

Metric learning aims to reduce intra-class distance and expand inter-class distance. This paper proposes a distribution optimization algorithm that incorporates interpretable feature engineering (dOIFE). dOIFE explores the local interpretability of each instance, reconstructs the feature space of the training set with reverse weighting, and optimizes the feature space of the target domain to address metric issues. Our approach innovatively derives interpretability weights from the classifier's perspective and applies fine-grained weighting to the instances to optimize the spatial metric. For any classifier, we conduct local interpretability analysis on its results to obtain fine-grained sample weights. In the training space, we designed an interpretable feature engineering method to expand inter-class distance and reduce intra-class distance. For the test space, we developed a unified method that combines ensemble inference and distance metrics to optimize feature distribution. We conducted experiments on classical balanced datasets, long-tail datasets, and image datasets. Comparative experiments with nine distance metric learning algorithms demonstrated the superiority of our algorithm. Statistical tests show that our algorithm can be applied to various classification models, improve classification performance, and offer a certain level of interpretability. © 2024 The Authors. Published by Elsevier B.V.

关键词： Optimization algorithms

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Thermosensitive core-shell polymer microspheres for enhanced wellbore stability in deep-water water-based drilling fluids

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Journal of Molecular Liquids 2025年 418卷

作者： Wang, Zhongyi Sun, Jinsheng Lv, Kaihe Lu, Haiying Geng, Yuan Huang, Xianbin Shandong Qingdao266580 China CNPC Engineering Technology R&D Co. Ltd. Beijing102206 China PetroChina Tarim Oilfield Branch Korla Xinjiang841000 China

The particular geological conditions present in deepwater wells, including specialised stratigraphic depositional processes, low mudline temperatures and high bottomhole temperatures, present a significant challenge to the construction of drilling rigs. This problem places new demands on the temperature resistance and wellbore stability performance of deepwater water-based drilling fluids. In this study, a thermosensitive core–shell polymer microsphere, NVPS, was prepared with a d50 value of 2.42 μm and a pronounced core–shell structure, which is capable of withstanding temperatures up to 180℃. At a concentration of 2 wt% of NVPS, the roll recovery at 180℃/16 h reached 98.53 % (22.95 % in clear water), and the linear expansion at 24 h was only 32.77 % (69.34 % in clear water). The material exhibited a pronounced hydration inhibition effect. The contact angle of water on the surface of shale chips treated at 180℃/16 h was 131.7° (53.9° for shale chips treated at 25℃/16 h) at a NVPS concentration of 2 wt%. It was demonstrated that NVPS produces a significant thermosensitive effect at elevated temperatures, which significantly enhances the hydrophobicity of the wellbore surface. The organic carbon adsorption of shale chips was found to be 108.11 mg/g (0.1338 mg/g in clear water) following hot rolling of the shale chips in an NVPS aqueous solution at 180℃ for 16 h. This indicates the presence of NVPS adsorption on the surface of the shale chips. The micromorphological analysis demonstrated that NVPS is capable of effectively adsorbing and residing on the surface and within the pores of a range of media. It was observed that NVPS can effectively adsorb and reside in the pore space. The thermosensitive groups in the shell layer of NVPS produce a thermosensitive effect when the temperature rises, which enhances the hydrophobicity and forms a wide and dense hydrophobic layer. This process hinders the intrusion of water molecules and inhibits the hydration and swelling of cl

关键词： Microspheres

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