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56th U.S. rock Mechanics/Geomechanics Symposium

作者： Zhai, Wenbao Wang, Qian Chen, Zhixue Chen, Xuefeng Li, Bo Hao, Weiwei Jiang, Jiwei Li, Mingyin Liu, dezhi rao, Jiafu CNPC Engineering Technology R&D Company Limited Beijing102206 China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing102206 China

ISBN: (纸本)9780979497575

Wellbore instability is one of the difficult problems restricting safe drilling. The traditional theoretical model of wellbore stability is easy to cause the actual drilling fluid density to be high and aggravate the risk of drilling lost circulation. Therefore, firstly, the rock mechanics parameter profile is quantitatively obtained according to the field multi-source data, and the single well geomechanics model is established;Then, the Monte Carlo method is used to comprehensively consider the uncertainty of geomechanical parameters, and a quantitative evaluation method of wellbore stability based on geomechanics is established to reasonably evaluate the wellbore stability probability and optimize the safe density window of drilling fluid;Finally, taking well X of an oil field in Western China as an example, the new method is used to quantitatively evaluate the wellbore stable section and unstable section, and the evaluation results are compared with the actual complex situation to dynamically optimize the density window of drilling fluid. The results show that the calculation results of the new method are consistent with the actual situation, and the probability of wellbore stability is more than 80%. This method can effectively evaluate the wellbore stability, and provide a reasonable density window of drilling fluid, reducing the drilling complexity and cost, which is of great significance to meet the requirements of safe and efficient drilling. © 2022 ArMA, American rock Mechanics Association.

关键词： Stability

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research on online correction method of dynamic ampacity parameters of submarine cable based on optical fiber temperature measurement 4

Research on online correction method of dynamic ampacity par...

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2024 4th International Conference on Optics and Communication technology, ICOCT 2024

作者： Li, Cunyi Zhang, Bo Hu, Peng Huo, Peng New Energy Engineering Technology Company Limited Beijing100034 China National Energy Wind Power Operation Technology R&D Center Xian710309 China

ISBN: (纸本)9781510685734

An on-line correction method for dynamic ampacity parameters of submarine cables based on optical fiber temperature measurement is proposed. First, through sensitivity analysis, find the material parameters that have a greater impact on the calculation of the current carrying capacity of IEC60853. Then, in the submarine cable real-time monitoring system, current data that meets certain characteristics and corresponding fiber temperature measurement data are extracted, and the conductor temperature is calculated by the thermal circuit method. Compared with the conductor temperature calculated by IEC60853, particle swarm optimization algorithm is used to modify the material parameters online, so as to reduce the error of IEC60853 in calculating the dynamic current carrying capacity. Finally, a 220KV three-core photovoltaic composite submarine cable from an offshore wind farm in Yancheng is taken as an example to verify the effectiveness of the method. © 2024 SPIE.

关键词： Sensitivity analysis

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research and Application of drilling engineering Monitoring and remote Support technology for cnpc Key Wells 1

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11th International Field Exploration and development Conference, IFEdC 2021

作者： Zhao, Tong Wu, Hua Xu, Sheng-jiang Ge, Yun-hua Mei, Yun-yi Zhang, Yan-long CNPC Engineering Technology R&D Company Limited Beijing China Institute of Engineering and Technology Xinjiang Oilfield Company Karamay China Unconventional Petroleum Research Institute China University of Petroleum Beijing China

ISBN: (数字)9789811921490

ISBN: (纸本)9789811921483

The global oil and gas industry is in a critical period of digital transformation. digital technologies such as the Internet of Things (IoT), cloud computing, big data, artificial intelligence (AI), and blockchain help accelerate the digital transformation and intelligent development of petroleum companies. The remote drilling support technology (rdST) integrates drilling engineering and digital technologies to promote lean management in the drilling process. engineering Information Smart Center (EISC) was developed based on rdST for intelligent drilling optimization design. The center could be used to improve the drilling speed, efficiency, and quality based on Measurement While drilling (MWd) data. It could also be used to enhance the early detection rate and disposal rate of complex drilling accidents. The application of EISC has promoted economic development and safety production in many oil and gas fields. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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research progress and application prospect of functional adhesive materials in the field of oil and gas drilling and production

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Petroleum Exploration and development 2023年第1期50卷 202-209页

作者： SUN Jinsheng LEI Shaofei BAI Yingrui LYU Kaihe CHENG rongchao HAO Huijun LIU Fan School of Petroleum Engineering China University of Petroleum(East China)Qingdao 266580China CNPC Engineering Technology R&D Company Limited Beijing 102206China

By summarizing the composition,classification,and performance characterization of functional adhesive materials,the adhesion mechanisms of functional adhesive materials,such as adsorption/surface reaction,diffusion,mechanical interlocking,and electrostatic adsorption,are *** research status of these materials in oil and gas drilling and production engineering field such as lost circulation prevention/control,wellbore stabilization,hydraulic fracturing,and profile control and water plugging,and their application challenges and prospects in oil and gas drilling and production are introduced *** to the applications of functional adhesive materials in the field of oil and gas drilling and production at this stage,the key research directions of functional adhesive materials in the area of oil and gas drilling and production are proposed:(1)blending and modifying thermoplastic resins or designing curable thermoplastic resins to improve the bonding performance and pressure bearing capacity of adhesive lost circulation materials;(2)introducing low-cost adhesive groups and positive charge structures into polymers to reduce the cost of wellbore strengthening agents and improve their adhesion performance on the wellbore;(3)introducing thermally reversible covalent bond into thermosetting resin to prevent backflow of proppant and improve the compressive strength of adhesive proppant;(4)introducing thermally reversible covalent bonds into thermoplastic polymers to improve the temperature resistance,salt-resistance and water shutoff performance of adhesive water shutoff agents.

关键词： functional adhesive materials adhesion mechanism action mechanism lost circulation prevention and control wellbore stabilization hydraulic fracturing profile control and water shutoff application prospect

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dynamics modeling and analysis of a down-hole drill string multibody system based on the absolute coordinate formulation 7

Dynamics modeling and analysis of a down-hole drill string m...

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7th International Conference on downhole Measurement and Control, ICdMC 2024

作者： Fang, Chao Li, HaiQuan Liu, Wei Xu, ZhaoHui Liao, MaoLin Fan, JinChao Lin, ZiLi Pang, HaiBo National Engineering Research Center for Oil&Gas Drilling and Completion Technology Beijing102206 China CNPC Engineering Technology R&D Co. Ltd. Beijing102206 China University of Science and Technology Beijing Beijing100102 China

drilling system dynamics is the basis of studying the interaction between components in drilling process, which needs to solve many difficult problems such as geometric nonlinear dynamics of drill string, contact between drill string and wellbore, solving timeliness and so on. The existing research on establishing dynamic unit of local drilling tool structure has low solution efficiency, and it is difficult to meet the requirements of directional trajectory control and drilling speed increase analysis efficiently. dynamics model of a downhole drill string system is established by using the multibody system dynamics method in this study. The natural coordinate formulation and the absolute nodal coordinate formulation are adopted to describe the rigid parts and the flexible beams, respectively. The presented model can be used to analyze the dynamic characteristics of the drill string system and the interaction between the drill string and the environment such as the wellbore and rocks in the drilling process. Finally, through comparative analysis with on-site test data, the correctness of the multibody dynamic model of the drill string system established in this paper was preliminarily verified. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： drill strings

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Analysis of concentration field in Underground-Storage salt cavern using Two-Well-Vertical Solution Mining 56

Analysis of concentration field in Underground-Storage salt ...

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56th U.S. rock Mechanics/Geomechanics Symposium

作者： Guan, Yueyang Ban, Fansheng Wang, Xiaoyang Chen, Chunyu CNPC Engineering Technology R&D Company Limited Beijing China Sinopec research Institute of petroleum engineering Beijing China Oil & Gas Technology Research Institute Changqing Oilfield Company Shaanxi China

ISBN: (纸本)9780979497575

The well spacing and the brine concentration are crucial for the volume and morphology of the two-well salt cavern gas storage by affecting dissolution rate of the cavity. However, it is hard to directly monitor the brine concentration inside the cavity. This study uses the classical method of Navier-Stokes, based on which the three-dimensional mathematical model of Two-Well-Vertical solution mining is established. Using Semi-Implicit Method for Pressure Linked Equations (SIMPLE) algorithm to solve the concentration distribution, while using Volume of Fluent (VOF) algorithm to solve the movement of boundary, so as to research the variation of cavity shape. According to the simulation results, it can be concluded that the region with the brine concentration of 210 g/L - 270 g/L is the key to enlarge the cavity volume in the connectivity stage. Compared with single-well salt cavern gas storage, two-well salt cavern gas storage mainly expands along the connection direction of two wells. The well spacing of 50 m can increase the maximum cavity diameter by nearly 78% compared to that of 10 m. With the increase of well spacing, the final cavity shape will change from cone shape to hump shape, however, the large well spacing may affect the cavity forming efficiency. © 2022 ArMA, American rock Mechanics Association.

关键词： Salt deposits

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Inertial Effect of drill Pipe Friction Trend and Early Warning of Stuck Pipe

Inertial Effect of Drill Pipe Friction Trend and Early Warni...

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2024 SPE Annual Technical Conference and Exhibition, ATCE 2024

作者： Liu, Muchen Song, Xianzhi Zhu, Zhaopeng Li, Gensheng Xiao, Hao Fu, Li Pan, Tao Li, Xintong Yang, Yanlong College of Artificial Intelligence China University of Petroleum Beijing Beijing China College of Petroleum Engineering China University of Petroleum Beijing Beijing China College of Mechanical and Transportation Engineering China University of Petroleum Beijing Beijing China Sinopec Northwest Oilfield Company Urumqi Xinjiang China CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9781959025375

Common stuck pipe caused by borehole uncleaning and wellbore geometry are a major threat to oil and gas drilling engineering, resulting in significant time and economic costs. These are highly correlated with the dynamic friction of the drill string. drillstring friction is an important function of cuttings bed and wellbore geometry, etc. and is a depth sequence. Existing research mainly focuses on machine learning and friction calculation for analyzing the stuck pipe trend. However, these methods often overlook the key mechanism parameters contributing to two types of stuck pipe, such as the cuttings bed and wellbore trajectory, etc., resulting in low accuracy. In addition, these methods are primarily real-time calculation of friction coefficient rather than prediction in advance for analyzing the stuck pipe trend, leading to a lack of timeliness. To solve these problems, a prediction method of drill string friction coefficient in advance during tripping operations was developed, which can be employed for early warning of stuck pipe. In the data preparation stage, the friction coefficient is calculated in real time using the Torque & drag model to characterize the stuck pipe trend during tripping operations. Additionally, key mechanism parameters such as additional cuttings friction, trajectory, and formation characteristics were introduced to characterize the mechanism of borehole uncleaning and wellbore geometric stuck risk, respectively. In the modeling stage, the Graph Attention Network (GAT) using different depth friction coefficients was stablished as graph nodes and key mechanism parameters as auxiliary features. Unlike conventional machine learning techniques, GAT can autonomously uncover potential relationships between nodes and subsequently predict the next node. The Self-Attention mechanism enables the automatic computation of weight values between nodes representing the friction coefficient to simulate the autocorrelation of the friction coefficient at

关键词： drill pipe

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A New rate of Penetration Prediction Model based on the XGBoost and Explanation Method 56

A New Rate of Penetration Prediction Model based on the XGBo...

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56th U.S. rock Mechanics/Geomechanics Symposium

作者： Chen, Gang Yang, Henglin Yang, dianru Guo, Kaijie Feng, Ming Wang, Yuan Fu, Li Jiang, Hailong CNPC Engineering Technology R&D Company Limited Beijing China PetroChina Southwest Oil&Gasfield Company Chengdu China Xi'an Petroleum University Xi'an China

ISBN: (纸本)9780979497575

Machine Learning (ML) studies are carried on in the hydrocarbon exploration and production. The rate of penetration (rOP) is one of the investigations related to ML. Previous studies could not fit the ultra-deep well and most of machine learning rOP prediction are black box models lacking of enough explanation. ML rOP prediction need more accurate rOP models. In this paper a new and reliable calculation method of rOP prediction for well drilling is proposed by Extreme Gradient Boosting (XGBoost) algorithm. It is compared with random Forest regression algorithm on rOP prediction models. According to the importance ranking, rotating torque is the most impacted factor in this dataset. The conclusion is that rOP prediction model based on XGBoost has smaller prediction mean square error and shows higher efficiency than random Forest, showing the superiority of the XGBoost. Considering the SHAP value ranking, torque and rPM are the most important features and they are positively impacted rOP in well drilling rOP model established by XGBoost machine learning method can make reasonable use of drilling parameters and provide reference for well drilling optimization. rOP model optimization derived from XGBoost can extremely reduce the expenses by reducing the drilling time. © 2022 ArMA, American rock Mechanics Association.

关键词： Forecasting

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Predicting seismic-based anisotropy for prevent pre-drill risk using a novel type neural network

Predicting seismic-based anisotropy for prevent pre-drill ri...

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SPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition 2021, APOG 2021

作者： ding, Yan Cui, Meng Wang, Hai Ge Fei, Zhao Shi, Xiao Yan Huang, Kai CNPC Engineering Technology R&D Company Limited Beijing102206 China

ISBN: (纸本)9781613997833

While drilling into fracture zones, lost circulation frequently occurs, resulting in a waste of productive operation severe cases, the well's destruction. However, due to complex development mechanisms and high heterogeneity, identifying and predicting fractures is extremely difficult. This study proposes a new drilling loss prevention idea to evaluate fractured lost circulation risk using seismic and wellbore data by a novel neural network. The approach works in two steps. First, the fracture anisotropy of a lost circulation sample curve is computed and interpreted using well logs. Second, using seismic attributes as constraints, a novel neural network is used to develop a prediction model. The field application in the Sichuan basin verifies the method's efficacy and confirms the method's ability for predicting lost circulation probability both along the well trajectory and in regions away from the drilled wells. © 2021, Society of Petroleum Engineers.

关键词： Anisotropy

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design of an FPGA-based short-circuit fault diagnosis algorithm for dC current-limiting fuses 7

Design of an FPGA-based short-circuit fault diagnosis algori...

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7th International Conference on Mechanical, Electric, and Industrial engineering, MEIE 2024

作者： Min, Guangyao Lei, Yuanlin Luo, Qiquan Huang, Yuanfeng School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan China First R&D Department Wuhan Hangjiu Electric Company Wuhan China

In recent years, dC current-limiting fuses have played a crucial role in the comprehensive power systems of ships, rail transport, and new energy sectors, ensuring the safe and reliable operation of dC power systems. However, with the increase in the capacity of dC power systems, short-circuit faults can lead to a rise in short-circuit current at rates of up to 40 A/μs, with peak short-circuit currents reaching up to 105KA. This poses higher demands on the accuracy and speed of fuse diagnostics to interrupt short-circuit currents. To address this issue, this paper introduces a fault diagnostic algorithm based on FPGA that can calculate the rise rate of short-circuit currents in real-time: employing FPGA with its high integration, abundant logic resources, and parallel data processing capabilities as the core of the measurement and control system to enhance the speed of short-circuit fault diagnosis from a hardware perspective;replacing the common large current trip protection and ddL protection algorithms with the Newton interpolation algorithm. This improvement calculates the rise rate of each current data point instead of the average rise rate over a period, thus enhancing the speed and accuracy of short-circuit fault diagnosis from a software perspective. The paper also discusses the design of the system's hardware and software and the construction of the experimental platform. Simulation and experimental results show that the fault diagnosis time of the algorithm has been reduced from 98μs to 36μs, with the numerical error in the short-circuit current rise rate within 2%, and a significant reduction in the peak value of short-circuit current, meeting performance requirements and effectively ensuring the safe and reliable operation of dC power systems. © Published under licence by IOP Publishing Ltd.

关键词： Short circuit currents

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