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58th US rock Mechanics / Geomechanics Symposium 2024, ArMA 2024

作者： Chen, Changchang Ji, Guodong Zhang, Hongyuan Sun, Yuqi Wu, Qiang Lv, Zehao CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9798331305086

Polycrystalline diamond Compact (PdC) bit underground operating conditions identification is one of the difficulties during the drilling operation. It is of great significant for the drilling improvement and accurate construction formation to accurately identify the complex operating conditions during drilling the operation such as PdC bit wearing and stick-slip vibration, etc. In this paper, data of relationship between torque, rate of penetration (rOP) signal and weight on bit (WOB), rev were obtained through lab simulation experiment, after which, a relationship database of torque, rOP signal and WOB, rev was established, a single-layer Long Short Term Memory (LSTM) recurrent neural network (LSTM) was constructed, the number of neurons, batch size and optimizer type of LSTM layer were optimized. With BPTT algorithm, LSTM model was trained and tested on the training set containing 6000 groups of data, and achieved the goal of identifying the bit operation conditions against the input of WOB, torque, rev and rOP signal parameters. Based on this model, the PdC bit underground operating conditions identification software was compiled, and was connected to the logging unit to realize real-time identification of bit underground operating conditions, and field test application was successfully carried out in Mahu 1 Well region. The research showed that the convergence speed was fast and the time cost was at the lowest when the number of neurons of LSTM model was 50, and that the optimized Adam optimizer model could meet the requirements of convergence speed and prediction accuracy with the lowest loss value. The classification accuracy of this model on the test set reached 94% and the accuracy of the prediction method was also verified by field test application. Copyright 2024 ArMA, American rock Mechanics Association.

关键词： Stick-slip

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Practice and Exploration of data Governance for drilling Completion 13th

Practice and Exploration of Data Governance for Drilling Com...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Jing, Ling-Zhi Cui, Meng Yang, Xin-Yi Tian, Yu-Meng Shi, Xiao-Yan CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9789819702718

drilling and completion is the core of energy production and plays an irreplaceable role in improving oil and gas exploration and development and increasing crude oil recovery. Similarly, drilling data is of great significance in drilling optimization, perforation, hydraulic fracturing, and oil and gas production. However, in actual production, data quality and application often fall short, making it difficult to further enhance and optimize oilfield engineering technology. Therefore, effective data governance to address data quality and application problems has become an urgent and critical issue. Additionally, the scale, quality, complexity, and security of data are essential issues that must be considered in data governance processes. To address these issues, this paper proposes an engineering technology data governance approach covering data quality control, data standardization, data modeling, and data mining. These methods and tools have been applied in production practices, and have achieved good results. Additionally, this paper explores the application of intelligent data governance, which aims to quickly and efficiently manage data. This paper compares the advantages and disadvantages of existing data governance algorithms in data governance, providing reference application scenarios for more efficient, reliable, and accurate drilling data governance. In summary, the proposed data governance approach and techniques provide the foundation for further improvements in oilfield engineering technology and management, as well as enhancing data utilization and decision-making for the petroleum service industry. Effective methods and tools must be used to address the challenges of data governance, including data scale, quality, complexity, and security. The proposed data governance approach for engineering technology, along with its applications and exploration in intelligent data governance, provides significant support for the exploration and implementation of d

关键词： Quality control

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Experimental Study on the Transmission Law of Ultrasonic in Mud 1

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Zhang, Shuo Gao, Wen-Kai Teng, Xin-Miao ding, Hua-Hua Liu, Ke Yu, de-Zhou CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (数字)9789819704798

ISBN: (纸本)9789819704781

In the process of oil and gas exploitation, the problems of wellbore instability and collapse seriously restrict the efficiency and safety of drilling and completion engineering. Ultrasonic borehole imaging technology while drilling has the advantages of accurately reflecting borehole shape, identifying fractures, pores, bedding and other characteristics. It can be used for real-time monitoring and evaluation of borehole engineering conditions and quality while drilling, which can effectively reduce drilling risks and costs, improve drilling efficiency and reservoir drilling rate. In order to develop ultrasonic borehole imaging tools while drilling and accurately interpret the ultrasonic images, this paper researches the transmission law of ultrasonic in mud, builds and designs the experimental device and experimental platform, formulate the experimental scheme. Laboratory simulation experiments were carried out to analyze the effects of different measurement distances, different mud density, different temperatures and different objects on the travel time and echo amplitude of ultrasonic and the main factors affecting the imaging effect. The experimental results show that: (1)The ultrasonic travel time increases linearly with the increase of measurement distance, increases with the increase of mud density, and increases slightly with the increase of transmission medium (water) temperature;(2) The ultrasonic echo amplitude decreases exponentially with the in-crease of measurement distance, decreases exponentially with the increase of mud density, and increases slightly with the increase of trans-mission medium (water) temperature;(3) Ultrasonic travel time information can be used for well diameter measurement and wellbore shape identification;(4) The ultrasonic echo amplitude information can be used to identify and image the characteristics of wall cracks, pores and holes;(5) Ultrasonic can be applied to the measurement and imaging of high density oil/water-based mud

关键词： Boreholes

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Early Stuck Pipe detection Based on Time Series Analysis

Early Stuck Pipe Detection Based on Time Series Analysis

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2024 SPE Asia Pacific Oil and Gas Conference and Exhibition, APOGCE 2024

作者： Shi, Xiaoyan Ji, Yong Cui, Meng Wu, dong Guo, Weihong Jing, Lingzhi Tian, Yumeng Yang, Xinyi CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9781959025269

recognizing stuck pipe signs in an earlier time and adopting appropriate action can greatly reduce nonproductive time during drilling and improve drilling safety. The purpose of this paper is to propose a time series analysis approach and build a reliable and easy-to-use tool to automatically detect stuck pipe accurately and early. Based on the in-depth theoretical analysis and historical stuck pipe data analysis, main early stuck pipe indicators during different drill operations are identified. More than ten time series analysis algorithms and machine learning algorithms are utilized to capture subtle change trends and local change patterns in noisy real-time measured surface data during drilling, and a self-adaptive threshold value determination method is proposed to improve the detection accuracy under different data measurement quality. Moreover, correlation analyses are conducted on the multidimensional time series based on the studied rules and priori knowledge to reduce the false alarms caused by curtain drilling operations. An early stuck pipe detection software tool is built. The tool consumes both real-time and archived drilling data, and provides alarms when stuck pipe indicators are detected. 19 wells’ historical drill data are fed to the tool for algorithm verification, the results show that the tool can automatically detect all 22 stuck pipe incidents in the data set, among which, 5 incidents were detected 2 hours before the field recorded event time, 2 incidents were detected more than 1 hour before the field recorded time, 8 incidents were detected 3-42 minutes before, 4 incidents were detected about the same time as the field recorded time, and 3 incidents were detected less than 2 minutes later than the field recorded time. The average false alarm rate is about once per 48 hours operation time. The tool was also connected to the real-time drilling data in remote drilling operation support center. during the trail, two early stuck pipe signs are cap

关键词： drills

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development Analysis and Prospect of Continuous Circulation drilling technology 13th

Development Analysis and Prospect of Continuous Circulation ...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Hu, Zhi-Jian Li, Xing-Yue Shao, Qiang Cheng, Jin CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9789819702558

Continuous circulation drilling technology has been widely applied abroad and has become an effective means to solve the safety of drilling in complex formations. However, due to insufficient understanding, there is still a significant gap in product development and application level between China and foreign countries. In order to improve understanding, the paper first systematically reviews the development history and current situation of continuous circulation drilling technology and products in domestic and foreign, and then through typical application cases, the main application fields and advantages of the current continuous cycle drilling technology are analyzed and summarized, as well as the applicability, compatibility, safety and reliability of different products. The application practice show that it can play an important role in the narrow density window wells, HTHP wells, Erd wells, horizontal wells and gas/foam drilling wells, and significantly improve the drilling safety and success rate. In view of the development requirements of domestic oil and gas resources, the development plan of applying continuous circulation drilling technology to potential fields such as ultra-deep carbonate reservoir and unconventional shale gas is proposed, and according to the characteristics of two different systems, the optimal schemes are selected and the corresponding development objectives are formulated, which will provide useful reference for promoting the further development of continuous circulation drilling technology. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Horizontal wells

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digital Twin System Utilizing Hybrid Approach of Physics Model and Machine Learning for Pipe Stuck Early Identification and Warning Based on real-Time data

Digital Twin System Utilizing Hybrid Approach of Physics Mod...

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2024 Offshore technology Conference Asia, OTCA 2024

作者： Zhang, Jiawei Wang, Haige Ji, Guodong Zhuo, Lubin Zhao, Zhixue Liu, Xiaoao Chen, Weifeng CNPC Engineering Technology R&D Company Limited Beijing China Drilling Engineering Technology Research Institute of CNPC Daqing Drilling Engineering Company Daqing China

ISBN: (纸本)9781959025030

Pipe stuck accident is one of the primary causes contributing to NPT (Non-Productive Time) in the drilling industry, incurring global financial losses amounting to hundreds of millions annually. For decades, Practices and techniques have been formulated and developed to avoid and tackle this downhole accident, while the early detection and proactive management are critical for effectively preventing this issue at its early stage. This paper presents the development and implementation of a novel digital Twin system, which amalgamates physics-based modeling and machine learning to facilitate real-time monitoring and early warning of pipe stuck while drilling. The system performs a real-time simulation of hook load, torque, and SPP (Standpipe Pressure) under various drilling states based on T&d and wellbore hydraulics models, which undergo verification and calibration within predefined computing cycles in order to enhance accuracy and reduce error margins. The PSrI (Pipe Stuck risk), ranging from 0-100%, is based on rOC (rate of change) of these three actual drilling parameters and the deviation of the simulated value from actual ones under different drilling states, is proposed to provide a comprehensive risk assessment over time series regardless of drilling state. A Continuous, real-time assessment of pipe stuck risk, categorized into low (green), medium (yellow), and high (red) levels, can be realized with thresholds for parameter deviation and rOC derived from historical data of wells with and without pipe stuck accidents and rFA (random Forest Algorithm). The system is designed to alert users such as drillers or monitoring specialists with visual and auditory signals when a high-risk scenario is detected, prompting immediate preventative or corrective actions. Case studies have shown that the system could provide early warnings of high-risk of pipe stuck typically between 30 minutes to 2 hours ahead, particularly during back-reaming and tripping operation. This c

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recommendation of rigless Solution to Ensure Wellbore Integrity and develop Low-Perm reservoirs in Middle East: Maximize Vitality of Coiled Tubing in Staged Fracturing, Water Injection and Fluid Monitoring

Recommendation of Rigless Solution to Ensure Wellbore Integr...

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2024 SPE Conference at Oman Petroleum and Energy Show, OPES 2024

作者： Chen, Chen Bai, Haoli Liu, Shanshan Zhao, Shufen Liu, Bingshan Che, Yang Liu, Huifeng CNPC Engineering Technology R&D Company Ltd. China CNPC R&D DIFC Company Ltd. United Arab Emirates

ISBN: (纸本)9781959025252

Low-perm carbonate reservoirs in the Middle East have great potential for development. Hydraulic fracturing is one of the key technologies to unlock their commercial potential. In recent years, an increasing number of oil companies have placed emphasis on the development of low-permeability reservoirs. The Sadi reservoir in Halfaya oilfield (Iraq) is characterized as a medium-porosity, extremely low to ultra-low-permeability limestone reservoir. due to poor reservoir properties, it has remained largely untapped. drawing from mature experiences in developing similar reservoirs globally, the application of multi-stage hydraulic fracturing techniques in horizontal wells, exemplified by the S5H1 well, has been initiated as a pilot test. AdNOC, a decade ago, commenced the development of the Arab d tight oil reservoir. The original acid stimulation plan was modified to a fishbone fracturing completion scheme. This adjustment not only resulted in significant cost savings per well, but also achieved an initial production rate of over 2100 barrels per day, more than triple that of the original plan. The production continues to be stable at present. Besides, AdNOC has been focusing on development of low-permeability (dY Zone A), using MrC (maximum reservoir contact) and compatible reservoir stimulation technologies. In Oman's daleel oilfield, the average thickness of the oil reservoir ranges from 10 to 30 meters, constituting a thin-layered, low-permeability carbonate reservoir. Maintaining the integrity of the wellbore is a critical consideration in the development of low-permeability reservoirs. Poor wellbore integrity can lead to complications in the production stage, resulting in an increasing quantity of inactive strings. To mitigate potential risks, the two-barrier philosophy serves as a guiding principle. This approach mandates the implementation of two independent and tested barriers to prevent issues related to well control during production operations and interventi

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An Artificial Intelligence Algorithm for the real-Time Early detection of Sticking Phenomena in Horizontal Shale Gas Wells

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Fluid dynamics & Materials Processing 2023年第10期19卷 2569-2578页

作者： Qing Wang Haige Wang Hongchun Huang Lubin Zhuo Guodong Ji CNPC Engineering Technology R&D Company Limited Planning and Support InstituteBeijing102206China

Sticking is the most serious cause of failure in complex drilling *** the present work a novel“early warning”method based on an artiﬁcial intelligence algorithm is proposed to overcome some of the known pro-blems associated with existing sticking-identiﬁcation *** method is tested against a practical case study(Southern Sichuan shale gas drilling operations).It is shown that the twelve sets of sticking fault diagnostic results obtained from a simulation are all consistent with the actual downhole state;furthermore,the results from four groups of veriﬁcation samples are also consistent with the actual downhole *** shows that the pro-posed training-based model can effectively be applied to practical situations.

关键词： Shale gas drilling sticking fault artificial intelligence risk early warning technology

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Application of Support Vector Machine (SVM) Method in reservoir Lithology Classification in Sichuan Basin 13th

Application of Support Vector Machine (SVM) Method in Reserv...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Yu, Jin-Chen CNPC Engineering Technology R&D Company Ltd. Beijing China

ISBN: (纸本)9789819704828

reservoir evaluation is essential for the scientific and rational design of geological exploration plans, and reservoir evaluation relies on obtaining information about reservoir lithology. With the deep integration of geophysical exploration technology and artificial intelligence, the use of artificial intelligence technology provides great convenience for complex and diverse geophysical exploration sites. Based on the support vector machine (SVM) method in machine learning, this paper uses actual well logging data from a gas well in the Sichuan Basin to train the algorithm and classify reservoir lithology in oil and gas development. The application of the support vector machine method in reservoir lithology is less explored. This paper effectively trains the support vector machine model with a large amount of well logging data and focuses on the influence of the C value and gamma value in support vector machines on classification accuracy. By optimizing the C and gamma values in support vector machines, the classification accuracy was improved from 0.63 to 0.75, effectively improving the convergence speed and optimization accuracy of the Sichuan Basin reservoir lithology identification algorithm. The successful application of the support vector machine in the classification of reservoir lithology in the Sichuan Basin demonstrates the significant cost reduction and efficiency improvement significance of artificial intelligence technology in geophysical exploration. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Support vector machines

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A creep model for ultra-deep salt rock considering thermal-mechanical damage under triaxial stress conditions

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Journal of rock Mechanics and Geotechnical engineering 2024年第2期16卷 588-596页

作者： Chao Liang Jianfeng Liu Jianxiong Yang Huining Xu Zhaowei Chen Lina ran College of Water Resource and Hydropower Sichuan UniversityChengdu610065China CNPC Key Laboratory of Oil and Gas Underground Storage Engineering Langfang065007China CNPC Engineering Technology R&D Company Limited Beijing102206China

To investigate the specific creep behavior of ultra-deep buried salt during oil and gas exploitation,a set of triaxial creep experiments was conducted at elevated temperatures with constant axial pressure and unloading confining pressure *** results show that the salt sample deforms more significantly with the increase of applied temperature and deviatoric *** accelerated creep phase is not occurring until the applied temperature reaches 130℃,and higher temperature is beneficial to the occurrence of accelerated *** describe the specific creep behavior,a novel three-dimensional(3d)creep constitutive model is developed that incorporates the thermal and mechanical variables into mechanical ***,the standard particle swarm optimization(SPSO)method is adopted to fit the experimental data,and the sensibility of key model parameters is analyzed to further illustrate the model *** a result,the model can accurately predict the creep behavior of salt under the coupled thermo-mechanical effect in deep-buried *** on the research results,the creep mechanical behavior of wellbore shrinkage is predicted in deep drilling projects crossing salt layer,which has practical implications for deep rock mechanics problems.

关键词： Creep experiments Creep model Thermal and mechanical damage Fractional derivative

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