检索结果-内蒙古大学图书馆

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

来源：评论

学校读者我要写书评

暂无评论

A hybrid machine learning optimization algorithm for multivariable pore pressure prediction

引用

Petroleum Science 2024年第1期21卷 535-550页

作者： Song deng Hao-Yu Pan Hai-Ge Wang Shou-Kun Xu Xiao-Peng Yan Chao-Wei Li Ming-Guo Peng Hao-Ping Peng Lin Shi Meng Cui Fei Zhao School of Petroleum and Natural Gas Engineering Changzhou UniversityChangzhou213164JiangsuChina Tubular Goods Research Institute of CNPC Beijing102249China CNPC Engineering Technology R&D Company Limited Beijing102206China

Pore pressure is essential data in drilling design,and its accurate prediction is necessary to ensure drilling safety and improve drilling *** methods for predicting pore pressure are limited when forming particular structures and *** this paper,a machine learning algorithm and effective stress theorem are used to establish the transformation model between rock physical parameters and pore *** study collects data from three *** 1 had 881 data sets for model training,and Wells 2 and 3 had 538 and 464 data sets for model *** this paper,support vector machine(SVM),random forest(RF),extreme gradient boosting(XGB),and multilayer perceptron(MLP)are selected as the machine learning algorithms for pore pressure *** addition,this paper uses the grey wolf optimization(GWO)algorithm,particle swarm optimization(PSO)algorithm,sparrow search algorithm(SSA),and bat algorithm(BA)to establish a hybrid machine learning optimization algorithm,and proposes an improved grey wolf optimization(IGWO)*** IGWO-MLP model obtained the minimum root mean square error(RMSE)by using the 5-fold cross-validation method for the training *** the pore pressure data in Well 2 and Well 3,the coefficients of determination(R^(2))of SVM,RF,XGB,and MLP are 0.9930 and 0.9446,0.9943 and 0.9472,0.9945 and 0.9488,0.9949 and *** achieves optimal performance on both training and test data,and the MLP model shows a high degree of *** indicates that the IGWO-MLP is an excellent predictor of pore pressure and can be used to predict pore pressure.

关键词： Pore pressure Grey wolf optimization Multilayer perceptron Effective stress Machine learning

来源：评论

学校读者我要写书评

暂无评论

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...

引用

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

关键词：

来源：评论

学校读者我要写书评

暂无评论

Application status and prospect of ionic liquids in oilfield chemistry

引用

Petroleum 2024年第1期10卷 11-18页

作者： Jinsheng Sun Zhuoyang Xiu Li Li Kaihe Lv Xianfa Zhang Zonglun Wang Zhiwen dai Zhe Xu Ning Huang Jingping Liu School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580China CNPC Engineering Technology R&D Company Limited Changping10206China Oil&Gas Technology Research Institute of Changqing Oilfield Company Xi'an710000China

The ionic liquid,as a new treatment agent,has been increasingly applied in oil fields due to its strong temperature resistance,good solubility and high surface *** this paper,we systematically discuss the action mechanism and application effect of ionic liquids in oilfield *** liquids can inhibit shale hydration expansion and reduce fluid loss through adsorption and intercalation,inhibit the formation of natural gas hydrate through imidazole five-membered ring structure as a space barrier,reduce viscosity of heavy oil by breaking chemical bonds of heavy oil macromolecules and charge transfer,improve oil displacement efficiency by forming ions pairs with carboxyl groups in crude oil,demulsify by forming channels between dispersed water droplets,acidify the formation by reacting with water to produce acid,interacts with organic material through weak hydrogen bonds and extracts it from oilfield wastewater,desulphurize by inserting sulfide molecules into the“stack”structure and form liquid inclusion complex,inhibit corrosion by forming a protective film on the metal *** on the above aspects,the development direction of ionic liquids is *** application of ionic liquids in oilfield chemistry is still in its *** is urgent to fully explore the application performance of ionic liquids in oilfield chemistry,which also provides theoretical and technical supports for efficient reservoir development.

关键词： Ionic liquids Oilfield chemistry Shale inhibitor drilling fluid

来源：评论

学校读者我要写书评

暂无评论

Case Studies of a Novel digital Twin System for Real-Time Early Identification and Warning of Pipe Stuck

Case Studies of a Novel Digital Twin System for Real-Time Ea...

引用

2024 International Petroleum technology Conference, IPTC 2024

作者： Zhang, Jiawei Wang, Qing Zou, Lingzhan Yu, Jingping Li, Jijun Yang, Yun Zhang, Yang Zhao, Zhixue CNPC Engineering Technology R&D Company Limited Beijing China CNPC Daqing Exploratory & Drilling Engineering Company Daqing China CNPC CCDC Drilling & Production Technology Research Institute Xi'an China Drilling Engineering Technology Research Institute of CNPC Daqing Drilling Engineering Company Daqing China

ISBN: (纸本)9781959025184

Pipe stuck serves as one of the primary downhole accidents in drilling industry with consequences ranging from minor inconvenience to severe complications. despite the variation on its cause and mechanism, this downhole accident could be prevented or avoided based on early identification of its unique symptom or data behavior, provided intervention or remediation measures are taken promptly. While conventional prediction or recognition methods, which rely on the fluctuation amplitude and curve trends of surface drilling parameters, are subject to user experience and human error, it's often the case that their timeliness cannot be guaranteed. A novel digital twin system, based on the deviation of hook load, torque and SPP (Standpipe Pressure) from theoretical modeled values and ROC (Rate of Change) of these three actual parameters, is developed for real-time early identification and warning of pipe stuck while drilling. A PSRI (Pipe Stuck Risk Index) ranging from 0%-100% is proposed based on ROC and deviation for comprehensive evaluation regardless of drilling state. Both T&d and wellbore hydraulics models are adopted to model the theoretical hook load, torque and SPP within preset computing cycle. ROC and deviation thresholds, corresponding to three different risk levels as low (green), medium(yellow) and high(red), were obtained by using RFA (Random Forest Algorithm) based on data of historical wells with and without pipe stuck accidents. Preventive or intervention measures are generally mandatory for on-site personnels or engineers once high-risk (red) alert is identified by the system. Several case studies are outlined to exhibit that the occurrence of pipe stuck accidents could be detected typically between 30 minutes and 2 hours ahead during back-reaming and tripping operations, which proved its potential for early identification and prevention of this downhole accident in real-time drilling. Cost containment and operational efficiency could be created with sys

关键词：

来源：评论

学校读者我要写书评

暂无评论

Trend Analysis for Calibrated Active System Volume and differential Flow Significantly Reduces False Positive Kick Alarm during drilling

Trend Analysis for Calibrated Active System Volume and Diffe...

引用

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

作者： ding, danhong Mei, Yunyi Ge, Su Yong, Fengwei Lu, Yaozhong Ge, Yunhua CNPC National Elite Institute of Engineering Beijing China CNPC Engineering Technology R&D Company limited Beijing China CNPC Research Institute of Petroleum Exploration and Development Beijing China Sino Science & Technology Company Limited Israel

ISBN: (纸本)9781959025269

Rapid kick detection is an essential part of rig safety. Identifying potential kick events in time is valuable and is an urgent and critical task for rig personnel and remote Operation Support Center(OSC) users. A new monitoring system has been developed by firstly calibrating the active system volume for pipe and cuttings displacement during drilling and then by detecting a statistically significant trend in the observed data rather than to rely solely on absolute values and threshold crossing to maximize the sensitivity whilst minimizing the number of false alarms. More than hundreds of historical kick alarms were reviewed and the corresponding mud logging data before the events occurred were displayed in log format against time for clear identification of anomalies in three different tracks: one track for pit volume, one for flow-in and flow-out, the third hole depth, bit depth and block position. By applying an automated rule-based system, the states of rig activities are also displayed simultaneously by detection of bit movement, pump, rotation status and other elements. It is noticed that the data absolute value, data noise, and rig operations such as sudden string movements and flow transients has significant interference to the detection of kick event and that the differential flow is more sensitive early kick indicator than pit volume in most of the historical cases. A pit volume calibrated for drill pipe and cuttings displacement during drilling and a trend analysis by applying Page-Hinkley method for monitoring both active system volumes and differential flows are established and the monitoring system is updated. The system has been tested and refined with the data flows of the historical cases in labs to maximize the sensitivity whilst minimizing the number of false alarms. A significant reduction of false positive alarms is achieved by reducing triggering of 1-2 alarms per well per week while maintaining a 100% true positive identification rate by compa

关键词： drill pipe

来源：评论

学校读者我要写书评

暂无评论

Progress in the application of graphene material in oilfield chemistry:A review

引用

Petroleum 2024年第2期10卷 175-190页

作者： Jinsheng Sun Yuanwei Sun Yong Lai Li Li Gang Yang Kaihe Lv Taifeng Zhang Xianfa Zhang Zonglun Wang Zhe Xu Zhiwen dai Jingping Liu School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580China CNPC Engineering Technology R&D Company Limited Changping10206China Nanchong Vocational and Technical College Nanchong637131China Oil&Gas Technology Research Institute of Changqing Oilfield Company Xi'an710000China CNPC Greatwall Drilling Fluids Company Panjin124000China

Graphene is a single atom thick crystal composed of carbon *** is the lightest,thinnest,strongest material that conducts heat and electricity well *** terms of application,by introducing oxygen-containing groups,graphene can be well dispersed in solvents,can be chemically modified and functionalized,or connected with other electroactive substances through covalent bond or non-covalent bond to form composite materials,which is conducive to further processing and *** application of graphene in oilfield chemistry started late,but developed *** has played an active role in drilling fluid,cementing fluid,fracturing fluid,displacement fluid and other oilfield working *** can enhance the temperature and salt resistance of working fluid and improve the effect of working *** this paper,several directions of graphene applications in oilfield chemistry,such as modified graphene,graphene copolymers and graphene nanoparticles,are reviewed in detail from the synthesis methods,action mechanisms and effects of graphene and its derivatives,and the frontier cases at this stage are *** the basis of the existing research,suggestions for the development direction of graphene materials in oilfield chemistry are given for a variety of graphene materials,aiming to provide guidance for the application of graphene in oilfield chemistry.

关键词： Oilfield chemistry Graphene Action mechanism Application Prospect

来源：评论

学校读者我要写书评

暂无评论

research on the Recognition and Characterization of Fractures in Coal Rock Based on CT Scanning

Research on the Recognition and Characterization of Fracture...

引用

International Petroleum and Petrochemical technology Conference 2024, IPPTC 2024

作者： Ye, Zhilin Qu, Shiyuan Liu, Jianquan Gao, Xiang Jin, Yi CNPC Engineering Technology R&D Company Limited China Research Institute of Petroleum Exploration and Development China

Coal rock fractures play a vital role as key channels for gas migration and storage in the exploration and development of coalbed methane. The characteristics of these fractures, such as porosity distribution, specific surface area, and connectivity, directly impact the adsorption, diffusion, and permeability behaviors of coal reservoirs. Therefore, a detailed analysis of coal rock fracture characteristics is vital in assessing the extractability of coalbed methane and during its exploration and development process. Currently, techniques like imaging logging, seismic detection, and micro-CT are employed for characterizing and studying fractures at various scales. Among these, high-resolution non-destructive CT scanning technology, by constructing three-dimensional data models of core samples, enables a quantitative analysis of fracture distribution features and size parameters. Traditional digital image processing methods, such as threshold segmentation and binary segmentation, though advantageous in computational speed, have limitations in the accuracy of fracture identification. With the advancement of artificial intelligence technology, deep learning-based image processing techniques have increasingly become significant tools for fracture detection due to their powerful feature extraction capabilities. This study conducted micrometer-level CT scanning experiments on coal rock samples, using CT image processing technology to construct a digitalized coal rock core model. deep learning methods were applied for precise fracture identification, establishing an appropriate deep learning architecture and optimized parameters for coal rock fracture recognition. Furthermore, this paper provides a detailed quantitative characterization of the precisely identified fractures, offering robust technical support for the exploration and development of coalbed methane. The high-resolution nondestructive CT scanning technology and three-dimensional fracture network reconstruction

关键词： Computerized tomography

来源：评论

学校读者我要写书评

暂无评论

Latest Technological Progress in drilling and Completion Operations of the Unconventional Reservoir in Xinjiang MaHu Oil Field and Key Suggestions for the Next Steps

Latest Technological Progress in Drilling and Completion Ope...

引用

2025 International Petroleum technology Conference, IPTC 2025

作者： Hu, Huaigang Xi, Chuanming Ji, Guodong Zhang, Nan Wu, Qiang Zhuo, Lubin Zou, Lingzhan CNPC Engineering Technology R&D Company Limited Beijing China National Engineering Research Center for Oil Gas Drilling and Completion Technology Beijing China Xinjiang Oilfield Engineering Technology R&D Company Limited Karamay China

ISBN: (纸本)9781959025436

due to the differences in sedimentary environments, compared with the exploitation of unconventional oil and gas resources in the United States and other countries, China has encountered greater difficulties in the drilling and completion processes of unconventional oil and gas. By analyzing the problems faced by drilling and completion in unconventional reservoirs in the MaHu area in recent years, the process of solving the issues and technical progress are summarized to form a technical template for drilling and completion in this area, which can also provide references for the next step to improve the drilling efficiency and reduce development costs. By studying the lateral distribution law of the pore pressure, the placement of the technical casing was optimized to further develop a standard design for the wellbore structure applicable to this area. To adapt to the local environmental protection requirements, high-performance non-sulfonic treatment agents were selected to replace sulfonic treatment agents, and four sets of environmental protection drilling fluid systems were formed. Based on the rock mechanics and field tests, the personalized drill bit is continuously optimized. With the introduction of a rotary steering drilling system and high-performance positive displacement motor (PdM), the rate of penetration (ROP) has been greatly improved. The transformation of horizontal Wells in the target Triassic formation from four types of casing strings with open hole completion + White oil-based/potassium-calcium based polysulfone organic salt drilling fluid to three types of casing strings with 5-inch casing completion + white-oil/potassium-calcium polyamine organic salt drilling fluid, from conventional rotary drilling + roller cone bit to rotary steering system/high-performance PdM +PdC bit, and the horizontal section length increased from 2000m to 2650m. Completion time decreased from an average of 144 days to 72 days. Speak of the Permian formation, the tra

关键词： Oil well completion

来源：评论

学校读者我要写书评

暂无评论

Evaluation of the combined influence of geological layer property and in-situ stresses on fracture height growth for layered formations

引用

Petroleum Science 2024年第5期21卷 3222-3236页

作者： Peng Tan Zhao-Wei Chen Liu-Ke Huang Qing Zhao Sha-Rui Shao CNPC Engineering Technology R&D Company Limited Beijing102206China National Engineering Research Center for Oil&Gas Drilling and Completion Technology Beijing102206China School of Civil Engineering and Geomatics Southwest Petroleum UniversityChengdu610500SichuanChina Shale Gas Research Institute Southwest Oil&Gas Field CompanyChengdu610500SichuanChina

Fracture geometry is important when stimulating low-permeability reservoirs for natural gas or oil production. The geological layer(GL) properties and contrasts in in-situ stress are the two most important parameters for determination of the vertical fracture growth extent and containment in layered rocks. However, the method for assessing the cumulative impact on growth in height remains ambiguous. In this research, a 3d model based on the cohesive zone method is used to simulate the evolution of hydraulic fracture(HF) height in layered reservoirs. The model incorporates fluid flow and elastic deformation, considering the friction between the contacting fracture surfaces and the interaction between fracture components. First, an analytical solution that was readily available was used to validate the model. Afterwards, a quantitative analysis was performed on the combined impacts of the layer interface strength, coefficient of interlayer stress difference, and coefficient of vertical stress *** results indicate that the observed fracture height geometries can be categorized into three distinct regions within the parametric space: blunted fracture, crossed fracture, and T-shaped ***, the results explained the formation mechanism of the low fracture height in the deep shale reservoir of the Sichuan Basin, China, as well as the distinction between fracture network patterns in mid-depth and deep shale reservoirs.

关键词： deep shale Hydraulic fracturing HF propagation Fracture interaction Cohesive zone method

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：