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Based on self-made shale formation simulated artificial cores to evaluate water-based drilling fluids plugging effect technology

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Petroleum research 2023年第1期8卷 11-17页

作者： Yang Bai Chunyan Liu Guojun Li ren Wang dezhi Liu Pingya Luo State Key Laboratory Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengdu610500China CNPC Engineering Technology R&D Company Limited Beijing102206China

Plugging technology is one of the leading problems in shale gas drilling engineering,as it causes wellbore stability,shale formation collapse,and so *** order to solve these problems,in this paper,we committed to preparing artificial cores whose original permeability was 1.16×10^(−4)md,which could be used to simulate the shale formation,and established a sealing evaluation method to assess the effect of plugging technology by measuring permeability reduction rate K'.Verified the good reproducibility of the artificial cores through a lot of high temperature and high pressure(HTHP)filtration *** Scanning electron microscopy(SEM)was used to prove that the permeability reduction rate is a scientific method to evaluate the sealing effect.

关键词： Plugging evaluation method Artificial cores reproducibility Permeability reduction rate

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Automatic Kick detection Using Artificial Intelligence

Automatic Kick Detection Using Artificial Intelligence

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2024 International Petroleum technology Conference, IPTC 2024

作者： Sha, Qihao ding, Yan Cui, Meng Cui, Yi Gao, reyu Zhao, Fei Xing, Shiwang Lyu, Congyue CNOOC Gas and Power Group Beijing China CNPC Engineering Technology R&D Company Limited Beijing China Beihang University Beijing China

ISBN: (纸本)9781959025184

Complications related to kick account for more than half of total well cost. Kick is unintended influx of formation fluids into the wellbore when the pressure found within the formation is higher than the mud hydrostatic pressure. If the event cannot be detected and controlled in time, they will lead to increased nonproductive time (NPT) and costs. For example, the maximum killing pressure required will be more than two times higher if the kick is detected 15 min later. To kill a kick, actions like circulating the well with heavier/lighter mud will require the field engineers to stop drilling. Even worse, a kick can potentially result in a blow-out event, which can lead to loss of life and a company's reputation. In recent years, people have made dramatic progress in kick detection. In general, they can be divided into physical-based models and data-driven approaches. For physical-based models, predicted values of the kick indicators are calculated and compared with the actual values. However, most of the physical-based models are unable to deal with complex situations, such as directional drilling and change of formation, temperature change, compressibility of fluids, etc. The pattern recognition approaches mainly consider the flow pattern. Moreover, these methods only recognize simple patterns, which might not be enough for real field application, where the data can be dirty and noisy. The models' performance can also be severely impacted if the labels are unbalanced. We propose to build a real-time alarm system for early kick detection using artificial intelligence and real-time drilling data. The goal is to use this automatic alarm system to predict kick events ahead of time and hence reduce NPT. First of all, the historical drilling data need to be integrated with daily drilling reports to recognize the kick events and routine daily operations. Second, calculating the possibility of kick from the drilling data, by applying our statistical method. Then, the prep

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Automatic detection and classification of drill bit damage using deep learning and computer vision algorithms

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Natural Gas Industry B 2025年第2期12卷 195-206页

作者： Yang, Xiongwen Feng, Xiao Cheng, Chris Yu, Jiaqing Zhang, Qing Gao, Zilong Liu, Yang Chen, Bo CNPC Houston Technology Research Center Beijing 100028 China CNPC Engineering Technology R&D Company Limited Beijing 102206 China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing 102206 China DataNova Analytics Incorporated Houston 77084 TX United States

This study aims to eliminate the subjectivity and inconsistency inherent in the traditional International Association of drilling Contractors (IAdC) bit wear rating process, which heavily depends on the experience of drilling engineers and often leads to unreliable results. Leveraging advancements in computer vision and deep learning algorithms, this research proposes an automated detection and classification method for polycrystalline diamond compact (PdC) bit damage. YOLOv10 was employed to locate the PdC bit cutters, followed by two SqueezeNet models to perform wear rating and wear type classifications. A comprehensive dataset was created based on the IAdC dull bit evaluation standards. Additionally, this study discusses the necessity of data augmentation and finds that certain methods, such as cropping, splicing, and mixing, may reduce the accuracy of cutter detection. The experimental results demonstrate that the proposed method significantly enhances the accuracy of bit damage detection and classification while also providing substantial improvements in processing speed and computational efficiency, offering a valuable tool for optimizing drilling operations and reducing costs. © 2025 Sichuan Petroleum Administration

关键词： Artificial intelligence damage assessment data augmentation deep learning IAdC dull PdC bit

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Machine Learning-based Sweet Spot Prediction Method for Canada Tight Sandstone Gas reservoir

Machine Learning-based Sweet Spot Prediction Method for Cana...

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2024 SPE/AAPG/SEG Unconventional resources technology Conference, UrTC 2024

作者： Chen, Zan Fang, Yexin Yuan, Qian Su, Hao Yao, Yili Chen, Yu Sinopec Petroleum Exploration and Production Research Institute China CNPC Engineering Technology R&D Company Limited China Oil & Gas Technology Research Institute Changqing Oilfield Company Xi’an China

A prediction method for the EUr (Estimated Ultimate recovery) of tight sandstone gas reservoirs based on a composite machine learning approach was proposed and applied in the M tight sandstone reservoir in Canada. This method extrapolated geological parameters such as porosity and brittleness index using a Conditional Generative Adversarial Network (CGAN). By combining supervised and unsupervised machine learning methods, a prediction model linking geological-engineering parameters with single-well EUr was established. Based on this model, the fracturing parameters were optimized using the Bayesian optimization algorithm. Following above three steps, a comprehensive EUr distribution map for the entire operating area was created. By comparing it with the actual EUr, it was found that this method has a high prediction conformity rate, providing guidance for actual production. Copyright 2024, Unconventional resources technology Conference (UrTeC).

关键词： Machine learning

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Application of Near-Bit LWd Gamma Image Logging in Horizontal Coalbed Methane reservoir 13th

Application of Near-Bit LWD Gamma Image Logging in Horizonta...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Yang, Qiu-Yi Mao, Wei-Min Fan, Yi-Feng Jia, Heng-Tian Feng, Ze-dong Xie, Xia CNPC Engineering Technology R&D Company Ltd. Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China Qoiltech Company Ltd. Wuxi China

ISBN: (纸本)9789819702558

For judging the formation lithology accurately, guiding the tool to drill in target reservoir, correcting drilling trajectory timely and improving the encounter rate, a near-bit 16-sector imaging LWd system that can be used in water-base and oil-base drilling fluid is presented in this paper. The LWd system is consisted of near-bit gamma imaging sub, screw and data receiving sub. It can be used in unconventional reservoirs such as shale and coalbed methane reservoir to achieve data measurement and stable transmission of near-bit deviation and gamma-ray. Compared with 8-sector gamma imaging, the application of 16-sector dynamic high-precision gamma scanning imaging technology provides more precise, accurate and timely parameters measurement. The near-bit gamma imaging LWd system has been provided successfully used in coalbed methane reservoir. The field application shows that this system exhibits excellent identification for coal lines and carbonaceous mudstones, and could guide drilling tool back to reservoir in the absence of formation, with the drilling ratio of reservoir by 97%. The application of near-bit gamma imaging LWd system in horizontal coalbed methane lay foundation for the study of dynamic high-precision gamma scanning imaging technology used in unconventional reservoirs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Methane

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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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design and Analysis of the Coaxial Magnetic Gears with Halbach PM arrays for downhole Electric drilling Tools 26

Design and Analysis of the Coaxial Magnetic Gears with Halba...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Wang, Aiguo Zhao, Xiaolong Liu, Longhui Cheng, Jin Qiao, Han Wang, Hongwei Wang, Jin Cnpc Engineering Technology R&d Company Limited Beijing China Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China

ISBN: (纸本)9798350317589

This paper presents the design and analysis of a magnetic gear reducer with Halbach permanent magnet (PM) arrays developed for downhole electric drilling tools. 2d finite element simulation technology is used to investigate the performance benefits which can be obtained by the coaxial magnetic gears from applying the Halbach PM arrays. It is discovered that using the Halbach PM arrays can improve the radial magnetic field distribution of the air gap of the magnetic gears, increase the air gap flux density harmonics which is used to transfer torque and decrease air gap flux density harmonics undesired. After applying Halbach PM arrays, the output torque density increases by about 37.5%, the total losses of the magnetic gears are reduced by 34.2%, and the cogging torque is reduced by 45%, compared to the traditional design with radial magnetized PMs. © 2023 IEEE.

关键词： Torque

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Key Safe drilling technology and Application of Highly deviated Well for High-Pressure Gas reservoirs in Western the right Bank of the Amu darya river 13th

Key Safe Drilling Technology and Application of Highly Devia...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Li, Gan-Lu Zhong, Zhao Liu, Ji-Tong Cheng, Wei-Heng Ye, dong-Qing Zhou, Hai-Qiu Zhang, Wei Xiao, Yue CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center of Oil & Gas Drilling and Completion Technology Beijing China AM River Natural Gas Company Beijing China

ISBN: (纸本)9789819702558

The west of Amu darya right Bank has complex geologic conditions and active shallow groundwater. The middlesalt-gypsum layers of Kemalian stage contain lenticular high-pressure saline aquifer, and the lower Kalov-Oxfordian reservoir develops high-pressure gas layer and high sulfur content. Complexities such as water invasion, gas kick, wellbore instability and leakage are prone to occur during drilling. The integrated application of suitable characteristic technologies such as wellbore structure optimization technology, strong inhibitive anti-sloughing drilling fluid technology and creep-resistant salt layer drilling fluid technology has effectively solved the problem of safe drilling of highly deviated wells in high-pressure gas reservoirs. This paper focuses on the optimization design of wellbore structure, drilling fluid technology for salt gypsum layer and safe drilling technology for salt gypsum layer. The subject ideas of several technologies in this paper are based on the properties of salt-gypsum layer and wellbore stability. This paper optimizes the seal-point, forms the three-section drilling program. The strong inhibition and anti-collapse drilling fluid system for upper layer and the polysulfonate under saturated-saturated brine drilling fluid system for salt-gypsum layer, and the salt-gypsum layer safe drilling technology are optimized. The integrated application of the above technologies reduces the occurrence of serious drilling fluid leakage, casing collapse and other complexities. The salt-gypsum layers are successfully drilled, and the cementing quality is guaranteed, the risks of safe drilling of highly deviated wells for high-pressure gas reservoirs in this area are effectively reduced, which provides reference for similar reservoirs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Aquifers

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Anomalous Behavior detection for Cloud Infrastructures via Transformer-represented Prior Knowledge 8

Anomalous Behavior Detection for Cloud Infrastructures via T...

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8th IEEE International Conference on Smart Cloud, SmartCloud 2023

作者： Zhao, Fei Chen, Mian Gao, Bo Cui, Yi Gao, reyu ding, Yan College of Petroleum Engineering China University of Petroleum Beijing China CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9798350313505

With the rapid progression and increasing industrial relevance of cloud computing, the stability of cloud systems has become increasingly critical as they are handling a vast number of requests. To ensure this stability, the operational status of cloud servers, indicated by key performance indicators such as CPU load, network bandwidth, memory allocation, and disk I/O operations, must be continuously monitored. Any changes in these metrics could signify potential system malfunctions like network intrusion or hardware faults due to user activities. However, given the cyclical nature of the utilization metrics, which often exhibit, minute, hour, or daily patterns, merely setting thresholds may not effectively detect these anomalous behaviors. To address this, our research capitalizes on the advantages of the Transformer model, incorporating cyclical prior knowledge to extract these periodic patterns from the metrics, thereby enhancing the detection efficacy. Experimental results show that our proposed approach outperforms the Transformer model, improving the anomalous detection accuracy by 1.7%, with the comprehensive evaluation metric (F1 score) surpassing 0.88. ©2023 IEEE.

关键词： Cloud computing

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New Mechanical Solutions for Isolating Severe Losses in High Temperature Wells

New Mechanical Solutions for Isolating Severe Losses in High...

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2024 International Petroleum technology Conference, IPTC 2024

作者： Zhan, Guodong david Yao, Yang Guo, Huijuan Aljohar, Abdulwahab Drilling Technology Division EXPEC Advanced Research Center Saudi Aramco Saudi Arabia Drilling Mechanical Department CNPC Engineering Technology R&D Company Limited China

ISBN: (纸本)9781959025184

In recent years, with the development of China's oil and gas exploration to deeper layers, the number of deep & ultra-deep wells has been increasing year by year. The casing layer sequence in the well structure design reaches 6-7 layers, which has tended to the design limit, but the handling ability is still insufficient in the face of sudden complex formations. Complications such as severe loss and different pressure systems in the same formation are encountered during drilling, resulting in early casing, which may not achieve the exploration target in the end. The open hole clad technology based on high performance solid expandable tubular is focus on solving difficult problems that weak and complex formation and severe drilling loses which cannot be effectively plugged or controlled. This paper studies the open hole clad technology based on high performance solid expandable tubular in exploration wells by using the methods of indoor test and field trials. The operation principle and technical characteristics of open hole clad technology are introduced in detail. And the test of expansion tubular performance, expansion cone performance and thread sealing strength were carried out to study the expansion tubular operation process. Then aiming at LZ1 exploration well with complications such as severe loss and different pressure systems in the same formation are encountered during drilling, the open hole clad technology field experiment was carried out, and the clad effect of expansion tubular were analyzed. The research results showed that: (1) the indoor tests of expansion tubular performance, expansion tubular cone performance and thread sealing strength verified the reliability of expandable tubular open hole clad technology which can effectively deal with the severe drilling loses on the safe drilling in exploration wells. (2) LZ-1 exploration wells have successfully created conditions for safe drilling in the target formation of LMX group by using Φ219mm expanda

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