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2024 International Petroleum technology Conference, IPTC 2024

作者： Zhang, Jiawei Huang, Hongchun Zou, Lingzhan Wang, Qing Ji, Guodong He, Xusheng Li, Hailiang deng, Wenxing CNPC Engineering Technology R&D Company Limited Beijing China PetroChina Southwest Oil & Gas Field Company Sichuan China Drilling and Production Technology Research Institute PetroChina Qinghai Oilfield Company Gansu Dunhuang China

ISBN: (纸本)9781959025184

Fatigue failure is recognized as the primary cause of tubular twist-off. repeated cyclic bending loads and stress caused by dogleg severity, pipe weight and buckled drill pipes would result in drill string fatigue failure as seven twist-off accidents have been observed at large shallow dogleg sections in three deep wells with TVd (True Vertical depth) more than 5000m. Fishing jobs, plug-back and sidetracking operations were time-consuming and costly, while typical inspection and cumulative pumping hours can't determine the thresholds for preventing drill string fatigue failure in such scenario. This paper proposes the methodology for preventing drill string fatigue failure in deep wells with large shallow dogleg. The relative fatigue index prediction model is established based on drill string stress characteristics and crack propagation behavior, on the basis of which cumulative fatigue distribution of entire drill string in drilled or pre-drill intervals could be calculated. Considering the added cumulative fatigue for drill string from drilled intervals, methods and procedures including optimizing drilling parameters, reshuffling drill string, replacing with new drill string are proposed for preventing fatigue failure in pre-drill interval. One of the filed applications was carried out in one deep well, which suffered from two drill string failures consecutively with failure position at same large shallow dogleg section. The calculated cumulative fatigue index of the second failure based on actual drilling data was 1.0595, which verified the accuracy of established model for predicting drill string fatigue failure. Also, simulation results showed that cumulative fatigue index rose rapidly when drilling through large shallow dogleg section, which justified all failure positions occurred at same large shallow dogleg section. Cumulative fatigue distribution of entire drill string was determined after two consecutively failures, suggesting that the drill string would

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Automated Identification of Lithology from drilling Cuttings Based on deep residual Network

Automated Identification of Lithology from Drilling Cuttings...

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2023 SPE/IAdC Middle East drilling technology Conference and Exhibition, MEdT 2023

作者： ding, Yan Cui, Yi Xin, Qing Qing Xie, Yong Gang Gao, re Yu Zhao, Fei CNPC Engineering Technology R&D Company Limited Beijing China Research Institute of Oil & Gas Technology PetroChina Changqing Oilfield Company Shaanxi Xi'an China

ISBN: (纸本)9781613999974

Identification of lithology from drilling cuttings is a key step for reservoir characterization. At present, the traditional method is to collect and analyze the cuttings by manual interpretation, which is subjective and time-consuming. In order to improve the accuracy, timeliness, and automation of identification of cuttings lithology, this paper completed lithology identification and classification through batch iterative training based on resnet-34 network. Automated rock type identification from cuttings images captured by a given camera is the goal of this work. The main challenge in cuttings recognition is the similarity of color and grain size in two or different cuttings. Another important factor is that the light source of the camera. In order to capture the images of cuttings more comprehensively for identification, a single light source with 8 channels (ultraviolet, blue, green, yellow, red, infrared, far infrared, and white light) was used to irradiate the cuttings during the imaging process, and the imaging information of cuttings in the full spectral segment can be obtained as the input of the deep learning network. In order to solve the overfitting problem caused by data duplication under different light sources, the input images are first preprocessed by brightness equalization and random cropping, so that each grayscale image can have the same brightness and do not have too much repetition under different light sources. In terms of the efficiency and accuracy, resnet-34 is selected as the model framework of cuttings recognition and classification. The overall accuracy of the model is increased to 98.6% combined with the actual hardware support in the field, which promotes the more efficient identification of logging cuttings and provides a theoretical basis for improving the online logging of logging in the field. Copyright 2023, SPE/IAdC Middle East drilling technology Conference and Exhibition.

关键词： Lithology

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Effect of mechanical vibration process parameters on the cement plugs properties for abandoned wells

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Petroleum Science 2023年第4期20卷 2428-2441页

作者： Hang-Ming Liu Yang-Ye He Ji-Fang Wan Lin Chen Xian-Zhong Yi Yuan-Hua Zhou Yu-Xian He Xiang-Gui Ming Lu ren Cooperative Innovation Center of Unconventional Oil and Gas Yangtze University(Ministry of Education&Hubei Province)WuhanHubei430100China School of Mechanical Engineering Yangtze UniversityJingzhouHubei434023China CNPC Engineering Technology R&D Company Limited Beijing102206China College of Safety and Ocean Engineering China University of Petroleum-BeijingBeijing102249China Engineering Technology Research Institute CNPC Bohai Drilling Engineering Co.Ltd.Tianjin300457China

A high-quality plug of the abandoned wellbore is considered an essential technical aspect of the oil and gas well abandonment technology system. This paper presents a method of active mechanical excitation to enhance the quality of wellbore plug barriers. An indoor simulation platform is developed, and the effects of different combinations of vibration frequency, amplitude and duration on the properties of the wellbore plug cement material are investigated. It is observed that the optimal combination of excitation parameters occurs at a vibration frequency of 15 Hz, a vibration time of 6 min, and a vibration amplitude of 3 mm. Compared with the condition without the vibration process, the cementing strength, compressive strength, and tensile strength of wellbore cement plug with the optimal mechanical vibration process could increase by 51%, 38% and 20%, respectively, while the porosity decreases by 5%. As determined by scanning electron microscopy of the set cement's microstructure, mechanical vibration effectively eliminates internal porosity and improves the set cement's density. The optimal excitation parameters obtained from the test can guide the design of the vibration plugging tool. The designed vibration plugging tool is simulated in the near field. The cement plug cementation quality tester tests the vibrating and non-vibrating samples, and the cementation ratio is calculated. The test results show that the average cementation ratio of vibrating samples is 0.89375, and that of non-vibrating samples is 0.70625, and the cementation quality is improved by 27%. It is concluded that it not only provides essential data for the design of mechanical vibration plug apparatus, on-site vibration plugs, and the development of operational specifications for vibration plugs, but also provides solid engineering guidance.

关键词： Plugging and abandonment Cement plug Vibration Mechanical properties Microstructure

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Optimized drilling Status recognition for Oil drilling Using Artificial Intelligence: Empirical research and Methodology 13th

Optimized Drilling Status Recognition for Oil Drilling Using...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Yang, Xin-Yi Cui, Meng Zhang, Yan-Long Jing, Ling-Zhi Ji, Yong Shi, Xiao-Yan CNPC Engineering Technology Research&D Company Limited Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China

ISBN: (纸本)9789819702718

This study focuses on the application of modern artificial intelligence (AI) techniques to improve the accuracy of drilling status recognition in the oil drilling industry, with the aim of enhancing safety and efficiency. To address the limitations of existing research in evaluation methods and practical applications, we constructed a unified drilling status dataset, introduced a more scientific evaluation criterion, the F1 score, and conducted a comprehensive evaluation and improvement of existing oil drilling status recognition methods. This paper provides an in-depth analysis of various drilling status characteristics and explores the applicability and limitations of different AI algorithms in drilling status recognition. Based on these findings, we propose optimized general drilling status recognition algorithms and validate the performances in real drilling status. Our research offers valuable insights and guidance for future oil drilling status recognition studies and is expected to promote safer and more efficient development in the oil drilling industry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： deep learning

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3d geomechanical model construction and application of deep shale gas in the Luzhou Block, Sichuan Basin 57

3D geomechanical model construction and application of deep ...

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57th US rock Mechanics/Geomechanics Symposium

作者： Wang, Yuan Yang, Henglin Fu, Li Chen, Gang Yuan, Guangjie Zhang, Heng Wang, Zixin CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China

ISBN: (纸本)9780979497582

deep shale gas with a burial depth of 3500-5000m became an important area for shale gas development in China. The characteristics of the rock's mechanics and the in situ stress have a significant impact on the drilling and fracturing effects of horizontal wells. Finite element simulation is used to build an accurate in situ stress model from the data of acoustic logging, diagnostic fracturing injection test, FMI imaging logging, and stress measurement. The results show that Young's modulus and Poisson's ratio in the Luzhou block change vertically with the deposition time. The Longmaxi reservoir has an abnormally high pore pressure gradient which ranges from 16.7 kPa/m to 21.7 kPa/m. The stress regime of the Luzhou block is primarily strike-slip type, with an overburden pressure gradient of 25.5kPa/m, and a minimum horizontal stress gradient range of 18.8 to 24.5kPa/m. According to wellbore breakouts and acoustic emission experiments of cores, the ratio between σhmax and σhmin is 1.165. The horizontal principal stress of the reservoir increases with the increase of Young's modulus and pore pressure. The conclusion is that high-precision geomechanical models can effectively serve to improve the efficiency of drilling operations, improve the production of single wells and benefit development. © 2023 57th US rock Mechanics/Geomechanics Symposium. All rights reserved.

关键词： Pore pressure

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Sensitivity Study of Bingham Fluid Flow by the ratio of Inner and Outer diameters of Annulus 13th

Sensitivity Study of Bingham Fluid Flow by the Ratio of Inne...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Zhao, Yi-Peng Li, Jia-Xin Wang, Hai-Ge Cui, Meng Lin, Li-Ming CNPC Engineering Technology R&D Company Ltd. Beijing China China University of Petroleum Beijing China Institute of Mechanics CAS Beijing China

ISBN: (纸本)9789819702558

As for flow of drilling fluids, typically for laminar flow and friction of Bingham plastic fluid, in a concentrate annulus, direct numerical simulations (dNS) are carried out and compared with Mr (Metzner reed, Mr) approximate solutions. As the sensitivity research parameter of present paper, the ratio of inner and outer diameter of annulus is prescribed to be 0.3, 0.5, 0.7 and 0.9. As such ratio decreases, the difference between velocity profiles obtained by dNS and Mr approximate solutions keeps increasing;compared with dNS, ranges of flow cores via Mr approximate solutions are varied from narrow to wide;differences between two maximal velocities also gradually increase, even up to 4%. As for frictional coefficients computed by dNS, Mr approximate solutions and Landmark software, Mr approximate solutions are close to dNS with mean error of 1.8%;however, the results obtained by Landmark software are generally small with the mean error of 23%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Laminar flow

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Nanoparticles Improved Sedimentation Stability of Oil-Based Completion Fluids While drilling Ultra-deep Wells

Nanoparticles Improved Sedimentation Stability of Oil-Based ...

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2023 Abu dhabi International Petroleum Exhibition and Conference, AdIP 2023

作者： Yan, L.L. Wang, J.H. Ni, X.X. Sun, J.S. Wang, r. Zhang, J.Q. Cui, X.B. CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China

ISBN: (纸本)9781959025078

The deep and ultra-deep oil and gas resources are important sources to meet the increasing oil and gas demands. But they are difficult to be explored because their buried geological conditions are extremely complex, such as high temperature (HT), high pressure (HP), thick salt and gypsum beds and borehole collapse. Oil-based drilling fluid (OBdF) is the preferred drilling fluid for ultra-deep wells due to its better wellbore stability and higher lubricity than water-based drilling fluid. Meanwhile, the oil-based completion fluid (OBCF) is also the first choice for operators because it can be turned directly by the OBdF, which is convenient and reusable. However, barite sag is often encountered because the completion fluid is required to be static for 7 to 15 days at a high temperature of more than 180°C, which results in serious problems, pipe sticking, density variation and well control problems, in ultra-deep wells. It is urgent to improve the sedimentation stability of OBCF while drilling the ultra-deep wells. In this paper, a modified nano-silica stabilizer was prepared to improve the sedimentation stability of OBCF. Its dispersity in a water-in-oil (W/O) emulsion with an oil-water ratio of 80:20 was observed by a cryo-scanning electron microscope and the viscosity at low shear rates was also tested. Then OBCF formulations with different densities were developed and modified by the prepared nano-silica stabilizer. The rheology and sedimentation stability were evaluated on HTHP rheometer and sedimentometer, respectively. The HTHP sedimentometer can work at a pressure up to 105 MPa and a temperature up to 300°C. results indicated that the novel nano-silica stabilizer could disperse stably in the water-oil interface and in the oil phase. The viscosity of the W/O emulsion at low shear rates was significantly increased after adding the nano-stabilizer. Meanwhile, the HTHP rheology and sedimentation stability of the high-density OBCF were improved by the nano-stabiliz

关键词： Scanning electron microscopy

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research Progress on Oil-Based Mud Washing Fluid System 8th

Research Progress on Oil-Based Mud Washing Fluid System

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8th International Conference on Advances in Energy resources and Environment engineering, ICAESEE 2022

作者： Zhang, Shi-Ling Zheng, Lian-Jie Ma, ru-Tao Song, Han-Xuan Zhang, Yang Guo, Ji-Xiang CNPC Engineering Technology R&D Company Limited Beijing100000 China Unconventional Petroleum Research Institute China University of Petroleum Beijing102249 China

ISBN: (纸本)9783031425622

The residual oil-based drilling mud on the casing wall is the main factor in blocking the near-wellbore reservoir channel and reducing the wellbore productivity. The well flushing fluid can clean the oil-based drilling fluid on the inner wall of the wellbore casing, improve the wellbore cleaning efficiency, and ensure the oil well's normal production. Therefore, the research status on well-flushing fluids at home and abroad the advantages, disadvantages, and applicability of various cleaning efficiency evaluation methods are investigated and analyzed. Moreover, the cleaning mechanism of well-flushing fluids on oil-based mud is also discussed. The work is intended to provide a basis for innovation and advancing research in developing different oil-based mud and wellbore flushing fluids to meet the needs of varying Well conditions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Oil wells

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A new method for predicting the density of drilling fluid based on non-parametric regression under HTHP 8

A new method for predicting the density of drilling fluid ba...

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8th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2024

作者： Zhou, Haiqiu Ye, Yuguang Cheng, Weiheng Gu, Yixin Guo, Qijun Zhou, Tuo Bahedaer Xiao, Yue Jiang, Fuhua Zhou, Shiying Cnpc Engineering Technology R and D Company Limited Beijing China China National Oil and Gas Exploration and Development Co. Ltd. Beijing China

ISBN: (纸本)9798331506230

Temperature and pressure are important factors affecting the density of drilling fluid. As exploration and development gradually progress to deep layers and deep waters, formation temperature and pressure are getting higher and higher. Ignoring the influence of temperature and pressure on the density of drilling fluid will lead to large deviations in drilling hydraulic calculations and increase the probability of accidents such as lost circulation and overflow. In this paper, the density change of a set of field oil-based drilling fluids is measured through laboratory experiments. The temperature range is 20-180°C, and the pressure range is 0.1 MPa-180 MPa. A high-temperature and high-pressure density prediction model for oil-based drilling fluids is established based on the weighted linear regression method. Based on the established model, the high-temperature and high-pressure density of the experimental drilling fluid is predicted. The results show that the prediction error is less than 5%, and the calculation accuracy is high, which can guide on-site operation and construction. © 2024 IEEE.

关键词： drilling fluids

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Study of Fe-doped Ordered Mesoporous Titanium dioxide Synthesis 3

Study of Fe-Doped Ordered Mesoporous Titanium Dioxide Synthe...

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2022 3rd International Conference on Material Chemistry and Composite Materials, MCCM 2022

作者： Yan, Zhiyuan ren, Han Geng, Yuan Yuan, Yuehui Meng, Sicong Cheng, rongchao Qu, Yuanzhi Wang, ren Yang, Hong Gao, Shifeng Zhang, Yan Zhang, Zhilei CNPC Engineering Technology R&D Company Limited Changping Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology China

Titanium dioxide is often designed as an excellent catalyst carrier and photocatalyst due to its tunable structure. In this paper, iron-doped ordered mesoporous titanium dioxide was prepared. These powders were characterized by X-ray diffraction (Xrd), transmission electron microscopy (TEM) and nitrogen physisorption (BET). It was found that mesoporous titanium dioxide powders containing 1% Fe doping were roasted at 350 °C to favor the formation of ordered mesoporous titanium dioxide. This is due to the fact that Fe doping can enhance the pore structure and improve the orderliness of pores, while the increase in temperature can accelerate the growth of grains. © Published under licence by IOP Publishing Ltd.

关键词： Iron

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