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13th International Field Exploration and development Conference, IFEdC 2023

作者： Xu, Zhao-Hui Fan, Jin-Chao Tian, Jialin Xiong, Chang-Qing CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center for Oil and Gas Drilling and Completion Technology Beijing China School of Mechanical Engineering Southwest Petroleum University Chengdu China

ISBN: (纸本)9789819702558

Bending sliding steering technology and rotary steering technology are two existing directional drilling technologies. A common technique for directional and horizontal wells is sliding steering. In the directional drilling process, the drill string is subjected to great resistance, resulting in low drilling efficiency and mechanical drilling speed, which severely limits the length of the horizontal section. Although rotary drilling can improve drilling efficiency, rotary guides are expensive to manufacture and use. In order to solve the problem of large friction generated during directional well sliding, a hydraulic coupling directional well drilling tool is proposed. The tool has the ability to adjust the torque transmitted from the upper drill string to the lower drill string, thereby continuously rotating above the drill string during the directional drilling phase, thereby reducing friction. Based on the borehole action model of the drill string and the rock action model of the drill bit, we established the dynamic model of the hydraulic clutch drill string system. Through evaluation based totally on the dynamic mannequin and actual drilling parameters, we reap the dynamic consequences of the drill string gadget with hydraulic clutch and evaluate it with the dynamic results of the drill gadget except without hydraulic clutch. The results show that the hydraulic grasp can efficiently minimize the friction of the drill string machine and suppress the stick-slip vibration at the drill bit. The results of this study further confirm that the use of hydraulic clutches can decrease the occurrence of friction during directional drilling. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： drill strings

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Advanced 4d drilling dynamics Model Simulates downhole Vibration and Helps to Optimize in Preventing drill String Failure

Advanced 4D Drilling Dynamics Model Simulates Downhole Vibra...

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

作者： Zhang, Jiawei Wang, Qing du, Shiliang Zhuo, Lubin Liu, Wei Ling, Bo CNPC Engineering Technology R&D Company Limited Beijing China China National Oil and Gas Exploration and Development Company Limited Beijing China Drilling and Production Technology Research Institute PetroChina Qinghai Oilfield Company Gansu Dunhuang China

ISBN: (纸本)9781959025269

downhole vibration, such as backward or chaotic whirling, is one of the primary causes for drill string failure during drilling operation. Understanding drilling dynamics is crucial for determining the mechanism of vibration and fatigue accumulation so as to mitigate risk of drill string failure. drilling dynamics or vibration data can either be obtained from real-time measurement or simulation based on dynamics model, which plays a crucial role for drilling optimization in pre-drill planning phase. An advanced 4d drilling dynamics model, which considers the interaction between drill bit and formation, impact and friction between drill string and wellbore, constraints exerted on drill string and drill bit, is proposed to simulate the distribution and variation of 3d displacement, velocity, acceleration as well as the stress state of entire drill string within specified time period. This time domain model allows exploration of the full range of dynamics response under different drilling scenarios, which helps to optimize the performance and reliability of BHA as well as WOB/rPM selection. Moreover, drill string fatigue life prediction can also be achieved by combing simulated stress state and fatigue accumulation theory. Simulation shows that BHA with smaller- sized drill collar or fewer stabilizers are more susceptible to backward and even chaotic whirling while drilling. Also, inappropriate WOB/rPM combinations such as low WOB with high rPM could also cause the onset of severe lateral vibration. High frequency bending stress, mainly concentrated on BHA and caused by lateral vibration, is the main reason for rapid fatigue accumulation and continuous severe vibration could even result in drill string fatigue failure within hours. These findings helped to justify the 5 consecutive BHA failure and 1 washout while drilling the 171/2" wellbore with 7621 ft length of an ultra-deep well. Simulation also showed that downhole lateral vibration severity was significantly redu

关键词： drill collars

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downhole resistivity Imaging System While drilling 12th

Downhole Resistivity Imaging System While Drilling

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12th International Field Exploration and development Conference, IFEdC 2022

作者： Jia, Heng-Tian dou, Xiu-rong Ai, Wei-Ping Pan, Xing-Ming Mao, Wei-Min Fan, Yi-Feng Xie, Xia Yang, Qiu-Yi CNPC Engineering Technology R&D Co. Ltd Beijing China

ISBN: (纸本)9789819919635

(1) Purpose and scope of the study: As the drilling and development scale of the oil and gas reservoirs with deep, unconventional and other complex geological structures is expanded and deepened, the measurement of more sidewall formation details along the wellbore trajectory while drilling is required to guide the wellbore trajectory through the reservoir and improve the drilling catching rate and recovery. Therefore, it is of paramount importance to accurate identification of the formation structure information of 360° sidewall and the judgment of the change in the stratigraphic dip of formation to dynamically and accurately measure the sector angle of gravity tool face (GTF) of the drilling tool and the resistivity information of wellbore formation when drilling. (2) Methods, steps and process of the study: For the aforesaid purpose, the downhole near-bit measurement-while-drilling (MWd) resistivity imaging system is designed. High-precision sensors for the real-time measurement of three-axis geomagnetism and gravity and the multi-source data fusion processing algorithm are used to conduct 360° imaging measurement of sidewall formation along wellbore trajectory under the conditions of strong vibration and impact and high speed during drilling, in combination with high-precision sidewall formation resistivity measurement method of button electrode. (3) results, cognition and conclusion of the study: The MWd resistivity imaging system is used in Turpan-Hami oilfield to measure the resistivity of the sidewall formation of the drilling section, upload the measured information of formation resistivity to the ground, accurately guide the adjustment of drilling direction, maintain the borehole trajectory through the reservoir, and improve the drilling efficiency and drilling catching rate. (4) Innovation, technical contribution and significance of the study: The MWd resistivity imaging system, through real-time tracking of complex reservoir structure, can judge sidewall

关键词： Lithology

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Intelligent Prediction and Key Factor Analysis to Lost Circulation from drilling data based on Machine Learning

Intelligent Prediction and Key Factor Analysis to Lost Circu...

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2022 International Conference on Computer Graphics, Artificial Intelligence, and data Processing, ICCAId 2022

作者： Wen, Guangyao Chen, Huailong Zhou, Tuo Gao, Chengwu Baletabieke, Bahedaer Zhou, Haiqiu Wang, Shan CNPC Amu Darya River Gas Exploration & Development Company Beijing102299 China CNPC Engineering Technology R&D Company Limited Beijing102206 China Beijing Chen Yu Jin Yuan Science and Technology Company Limited Beijing100010 China

ISBN: (纸本)9781510663350

Lost circulation during drilling wells is very detrimental since it greatly increases the non-productive time and operational cost, also seriously lead to wellbore instability, pipe sticking, blow out, etc... However, in the process of drilling wells, geological characteristics and operational drilling parameters all may have impacts to the lost circulation. This makes the establishment of the relations between the lost circulation and drilling factors very challenging. In this paper, we tested five different kernel function (linear, quadratic, cubic, medium Gaussian and fine Gaussian) derived support vector regression (SVr) models and four-layer artificial neural network (ANN). By combining their accuracy and time efficiency, the ANN is regarded as the optimal predictor of lost circulation. By training ANN using different combination of drilling features, we concluded that depth, torque, hanging weight, displacement, entrance density and export density are the key factors to accurate predict the lost circulation. The corresponding trained ANN network can achieve 99.2% accuracy and evaluate whether a drilling feature vector corresponds to lost circulation or not in milliseconds. © 2023 SPIE.

关键词： Multilayer neural networks

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Numerical Investigation on Fracture Initiation Law and Breakdown Pressure in Perforated Horizontal Well in Mahu Conglemorate reservoir

Numerical Investigation on Fracture Initiation Law and Break...

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2025 SPE Gas and Oil technology Conference, GOTECH 2025

作者： Jia, Wenting Huang, Bo Wang, Siqi Qiao, Yan Wang, ruyi Qu, Shiyuan Li, Huili Lv, Congyue CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9781959025733

The Mahu Oilfield has discovered 1.24 billion tons of tertiary petroleum geological reserves. The full exploitation of its oil and gas resources has irreplaceable significance for China and the world. However, the Mahu reservoir has strong heterogeneity, and there is currently a problem of unclear understanding of the mechanism of fracture initiation and unknown factors affecting fracture initiation. This article first proposes a gravel generation algorithm based on gradual expansion and boundary coupling to characterize the heterogeneity of conglomerate reservoirs. Subsequently, a hydraulic fracture initiation and propagation particle discrete element model based on the flow tube network is established. Finally, numerical simulations of the hydraulic fracturing process are carried out considering different gravel properties under perforated conditions in horizontal wells. The mechanism, laws, and main controlling factors of fracture initiation in conglomerate reservoirs are revealed. The results indicate that hydraulic fracturing in conglomerate reservoirs can be categorized into three types based on the media surrounding the perforation: matrix initiation, gravel-bypassing initiation, and gravel-crossing initiation. The internal strength of gravel is higher than matrix, and the corresponding breakdown pressure for gravel-crossing initiation is the highest among the three types of fracture initiation. The increase in gravel content and size will lead to an increase in the proportion of gravel-crossing initiation fractures, and the corresponding breakdown pressure will go up by an average of 6.4 MPa and 4.4 MPa compared to the breakdown pressure of the matrix initiation condition. The increase in gravel strength makes it difficult for fractures to form a crossing path when encountering gravel, resulting in an increase in the proportion of fractures around the gravel and an average increase of 8.1 MPa in breakdown pressure compared to the matrix initiation condition.

关键词： Petroleum reservoir evaluation

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development of drilling Parameter Collaborative Optimization Software Based on Machine Learning 12th

Development of Drilling Parameter Collaborative Optimization...

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12th International Field Exploration and development Conference, IFEdC 2022

作者： Zhao, Yi-Peng Cui, Meng Shi, Xiao-Yan CNPC Engineering Technology R and D Co. Ltd Beijing102200 China

ISBN: (纸本)9789819919635

The application of new technologies and methods in emerging fields such as machine learning and big data to the oil drilling industry is the focus of research in the oil industry. The prediction of rOP (rate of penetrate) and optimization of drilling parameters are one of the core problems in the process of intelligent drilling. The relationship between various factors and rOP in the drilling process is explored by using machine learning in this paper. It can accurately predict rOP in the follow-up drilling process and provide feasible ideas and methods for rOP optimization. A collaborative optimization software for drilling parameters based on geological engineering data is developed in this paper. It mainly includes five modules: data management module, data preprocessing module, rOP model establishment and drilling parameter optimization module and data display module. Multiple regression, neural network algorithm and deep learning algorithm are used to predict the rOP. The curve display actual drilling parameters and optimized drilling parameters at the same time through data post-processing and visualization. When a certain time point is selected, the actual drilling parameters and optimized drilling parameters can be displayed in the form of instrument panel. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Forecasting

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Mesoporous SiO_(2)nanoparticles with low surface energy and multi-level roughness as shale wellbore stabilizers in oil-based drilling fluid

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Petroleum Science 2025年第1期22卷 384-397页

作者： Hong-Yan du Kai-He Lv Jin-Sheng Sun Mei-Chun Li Yuan Geng Xian-Bin Huang Hao-Kun Shen Muhammad Arqam Khan School of Petroleum Engineering China University of PetroleumEast ChinaQingdao266580ShandongChina Key Laboratory of Unconventional Oil&Gas Development Ministry of EducationQingdao266580ShandongChina CNPC Engineering Technology R&D Company Ltd. Beijing102206China Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Materials Science and EngineeringNanjing Forestry UniversityNanjing210000JiangsuChina Department of Petroleum Engineering NED University of Engineering&Technology395007Pakistan

Oil-based drilling fluids possess excellent properties such as shale inhibition, cuttings suspension, and superior lubrication, making them essential in the development of unconventional oil and gas ***, wellbore instability, caused by the invasion of drilling fluids into shale formations, remains a significant challenge for the safe and efficient extraction of shale oil and gas. This work reports the preparation of mesoporous SiO2nanoparticles with low surface energy, utilized as multifunctional agents to enhance the performance of oil-based drilling fluids aimed at improving wellbore stability. The results indicate that the coating prepared from these nanoparticles exhibit excellent hydrophobicity and antifouling properties, increasing the water contact angle from 32°to 146°and oil contact angle from 24°to134.8°. Additionally, these nanoparticles exhibit exceptional chemical stability and thermal *** these nanoparticles into oil-based drilling fluids reduced the surface energy of the mud cake from 34.99 to 8.17 m J·m-2and increased the roughness of shale from 0.26 to 2.39 μm. These modifications rendered the mud cake and shale surfaces amphiphobic, effectively mitigating capillary infiltration and delaying the long-term strength degradation of shale in oil-based drilling fluids. After 28days of immersion in oil-based drilling fluid, shale cores treated with MF-SiO2exhibited a 30.5% increase in compressive strength compared to untreated cores. Additionally, these nanoparticles demonstrated the ability to penetrate and seal rock pores, reducing the API filtration volume of the drilling fluid from11.2 to 7.6 m L. This study introduces a novel approach to enhance the development of shale gas and oil resources, offering a promising strategy for wellbore stabilization in oil-based drilling fluid systems.

关键词： Fluorosilane Wettability Wellbore stability drilling engineering Self-cleaning Antifouling

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A micro-crosslinked amphoteric hydrophobic association copolymer as high temperature-and salt-resistance fluid loss reducer for water-based drilling fluids

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Petroleum Science 2024年第3期21卷 1980-1991页

作者： Jian Li Yu-Xi Ji Xiao-Xiao Ni Kai-He Lv Xian-Bin Huang Jin-Sheng Sun School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Key Laboratory of Unconventional Oil&Gas Development China University of Petroleum(East China)Qingdao26650ShandongChina Inspection and Testing Center of Huabei Oil Field Company PetroChinaRenqiu062552HebeiChina Drilling Fluid Research Institute CNPC Engineering Technology R&D Company LimitedBeijing102206China

during ultradeep oil and gas drilling,fluid loss reducers are highly important for water-based drilling fluids,while preparing high temperature-and salt-resistance fluid loss reducers with excellent rheology and filtration performance remains a ***,a micro-crosslinked amphoteric hydrophobic association copolymer(i.e.,dAdC)was synthesized using N,N-dimethyl acrylamide,diallyl dimethyl ammonium chloride,2-acrylamido-2-methylpropane sulfonic acid,hydrophobic monomer,and pentaerythritol triallyl ether *** to the synergistic effects of hydrogen bonds,electrostatic interaction,hydrophobic association,and micro-crosslinking,the dAdC copolymer exhibited outstanding temperature-and *** rheological experiments have shown that the dAdC copolymer had excellent shear dilution performance and a certain degree of salt-responsive viscosity-increasing *** dAdC copolymer could effectively adsorb on the surface of bentonite particles through electrostatic interaction and hydrogen bonds,which bring more negative charge to the bentonite,thus improving the hydration and dispersion of bentonite particles as well as the colloidal stability of the drilling ***,the drilling fluids constructed based on the dAdC copolymer exhibited satisfactory rheological and filtration properties(FLHTHP=12 m L)after aging at high temperatures(up to200℃)and high salinity(saturated salt)***,this work provided new insights into designing and fabricating high-performance drilling fluid treatment agents,demonstrating good potential applications in deep and ultradeep drilling engineering.

关键词： Fluid loss reducer Temperature-and salt-resistance Hydrophobic association Amphoteric Micro-crosslinking

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development of Automatic recognition and recording System for rig Jobs

Development of Automatic Recognition and Recording System fo...

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2022 IAdC/SPE International drilling Conference and Exhibition, dC 2022

作者： Ge, Yunhua Zhang, Yanlong Ge, Su Mei, Yunyi Wang, Wenzhi Yong, Fengwei He, david Zhang, Josh Wang, Zhenyu Wang, Yuxin CNPC – Engineering Technology R&D Company Limited China CNPC – Research Institute of Petroleum E&D China Sinohan Science and Technology Ltd. China CNPC United States CNPC – Western Drilling Company China

ISBN: (纸本)9781613998427

Keeping a record of drilling process automatically in real time is a requisite for KPI studies and getting support from rOCs experts. There are five categories of technical data describing a well's drilling process, which are rig jobs in time sequence, job operational parameters, unit lithology by depth, wellbore configuration by depth and job appraisal respectively. Among them, the data of rig jobs in time sequence covers whole process of well construction and is collected manually via daily drilling reports or Shift forms with little data quality control and is easy to be filled by mistakes or omissions. The other four types of data are mainly collected via mud logger, MWd/LWd tools, wire-line logging tools, etc and mostly realized automatic recording with strict data quality controls. In order to solve the shortcomings of data collecting and recording of rig jobs in time sequence, an automatic recognition and recording system for rig jobs is developed. Previously, the team had tried to identify 25 common rig jobs such as on-bottom drilling, tripping-in, tripping-out, circulating, reaming, etc by developing a judgment algorithm based on real-time operating parameters from mud logger and is proved to be inaccuracy and incompleteness due to insufficient data resolutions and limited data points especially when drill string is out of hole. This time, the team takes advantages of video data from on-site surveillance cameras and develops an automatic recognition and recording system for rig jobs by integration of AI video recognition algorithm with previous method. The AI video recognition is realized by applying U-Net, Attentioned, GAN, etc. and the AI model trained by a mass of labeled data. Finally, the system is deployed in sync with Wellsite data Platform (WdP) and tested on line with real-time data from both cameras and mud logger. The online tests showed that the system could recognize various rig jobs from spud-in to end of well with correctness rate of more tha

关键词： Cameras

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A Chemical Method of Achieving Uniform Stimulation Intensity Along Long Laterals in Horizontal Wells

A Chemical Method of Achieving Uniform Stimulation Intensity...

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

作者： Yuan, Zebo Liu, Huifeng Xu, Ning Jin, Song Shi, Ying Chen, Zhangxin PetroChina Tarim Oilfield Company Xinjiang Korla China CNPC R&D DIFC Company Limited Dubai United Arab Emirates CNPC Oman Company Muscat Oman Department of Chemical and Petroleum Engineering University of Calgary CalgaryAB Canada

ISBN: (纸本)9781959025252

To exploit a reservoir more efficiently, horizontal wells with long laterals are being drilled in many oilfields in the world. Uniform acidizing by bullheading is a challenge in these wells because the volume of acid that enters each segment tends to be different: larger at the heel while smaller at the toe. This further causes a non-uniform production profile which advances breakthrough of water. In this paper, a method of using a temperature-sensitive viscous acid to achieve uniform stimulation profile is introduced. The acid is delicately designed so that the viscosity of it changes with temperature and the changing rate can be quantitatively controlled. As the acid flows in wellbore, the diffusion coefficient of H+ and therefore the acid-rock reaction rate gradually increases while it is being warmed by wellbore. A model describing the change of viscosity and H+ mass transfer coefficient is established and coupled with a wellbore heat transfer model. The basic of this acid is hydrochloric acid but it is mixed with a special gelatinizer. The initial viscosity of the acid ranges from 60 to 1400 mPa.s at surface, depending on the concentration of gelatinizer. Its viscosity gradually decreases to 200 mPa.s with temperature increasing to 100 ℃.The leaking off velocity decreases from 2.0×10−6 m/s to 2.0×10−7 m/s accordingly, depending on the injecting time. And the acid concentration at the wall of wellbore increase by three times when the injecting rate doubles, also depending on the wellbore temperature and pressure. The acid-rock reaction rate is faster at toe than at heel, which just compensates the differences of acid volume allocation between toe and heel due to wellbore flow friction. A model describing the correlations between the acid viscosity, diffusion coefficient of H+, the concentrations of HCl, the injection rate and the temperature is generated. This model is coupled with an acid flow and reaction model and a wellbore heat transfer model and in the end

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