检索结果-内蒙古大学图书馆

SSrN 2024年

作者： Zhang, Chi Xia, Xiujian Zhai, Xianzhi Ying, Yujie Hu, Miaomiao Guo, Jintang School of Chemical Engineering and Technology Tianjin University Tianjin300350 China CNPC Engineering Technology R&D Company Limited Beijing102206 China Zhejiang312300 China Haihe Laboratory of Sustainable Chemical Transformations Tianjin300051 China Beijing University of Chemical Technology China

Micro-capsule has been considered the most promising self-healing material, while the complex and high temperature polymerization process, and environmental unfriendly raw materials limits its wide application. Herein, the green micro-capsule composed of epoxy resin and calcium alginate were prepared at room temperature via needle drop method,O/W/O emulsion method and spraying method. The effects of preparation methods on the water absorption, encapsulation rate of micro-capsules were revealed, and the differences in the self-healing efficiency of cement containing these green micro-capsules were also studied. Among all samples, the micro-capsules prepared by O/W/O emulsion method (MCE-2) owned the highest water absorption 60.13% and the highest epoxy resin content 48.1%. Compared with the blank samples, adding micro-capsules improved the liquidity of cement slurry and facilitated the hydration process, related to the release of extra water. While, the micro-capsules caused additional defects in the cement matrix and weakened the compressive strength of cement. In the self-healing measurement, the composites with MCE-2 showed the biggest mass transfer pressure and least permeability before and after repair. The higher water absorption of MCE-2 significantly increased greater mass transfer resistance to block the erosion of external fluids before repair, and the higher epoxy resin content could ensure stronger sealing effect after repair, achieving the best self-healing performance. © 2024, The Authors. All rights reserved.

关键词： Water absorption

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Influence of Fractures on CO2 Huff-n-Puff Effect of Staged Fractured Horizontal Wells in Tight Oil reservoirs 11th

Influence of Fractures on CO2 Huff-n-Puff Effect of Staged F...

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11th International Field Exploration and development Conference, IFEdC 2021

作者： Zhou, Tuo Zhong, Zhao Chen, Chi Yang, Hui Xiao, Yue Baletabieke, Bahedaer Kong, Xiang-ji Zhou, Chuan Xiang, Ying Gao, Qing-yun Tian, Yajie CNPC Engineering Technology R&D Company Limited Beijing China Exploration Division PetroChina Southwest Oil and Gasfield Company Chengdu China China Petroleum Technical Service Corporation Limited Beijing China China National Oil and Gas Exploration and Development Company Ltd. Beijing China Research Institute of Petroleum Exploration and Development Beijing China

ISBN: (纸本)9789811921483

Tight oil has become a new growth point for global oil and gas reserves and production. Conventional tight oil reservoirs are mainly developed in depletion mode, and water flooding cannot effectively supplement formation energy. CO2 has strong advantages in terms of elasticity, mutual solubility with crude oil, etc., and is considered to be an effective way to supplement energy. At present, staged fracturing of horizontal wells has gradually become the main development method for tight oil reservoirs, but it still fails to meet production requirements. In this paper, taking the Chang 8 tight oil reservoir in the Ordos Basin as an example, it is the first time to use a combination of physical simulation and numerical simulation, and use an original large-scale physical simulation experiment system to focus on the impact of fractures on the CO2 huff-n-puff effect of staged fractured horizontal wells in tight oil reservoirs. Through the original large-scale physical simulation experiment system (which can simulate a 50 * 50 * 6 cm core), using a combination of physical simulation and numerical simulation to analyze the impact of fractures on the CO2 huff-n-puff effect of horizontal wells with staged fracturing. Studies have shown that fracture length and fracture density are the main controlling factors that affect the CO2 huff-n-puff effect of staged fracturing horizontal wells, and reasonable fracture parameters are the key to improving development efficiency. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fracture

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Wide and deep Cross Network for the rate of Penetration Prediction

SSRN

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SSrN 2023年

作者： Pei, Zhijun Song, Xianzhi Ji, Yong Yin, Tianshi Tian, Shouceng Li, Gensheng Beijing102249 China State Key Laboratory of Petroleum Resources and Prospecting Beijing102249 China CNPC Engineering Technology R&D Company Limited Beijing102206 China

rate of penetration (rOP) prediction is of great significance for drilling optimization. However, the current intelligent rOP prediction models are mostly based on complete data-driven, and the mobility and stability of the model need to be improved. Based on the analysis of the modified Young's rOP equation, there are linear, nonlinear, and cross-multiplication relationships between rOP and multiple drilling parameters. Therefore, the deep neural network (dNN) model, known for its strong nonlinear fitting ability, is difficult to fully mine the hidden information of drilling data. Based on the wide and deep learning (WdL)model and deep and cross neural network (dCN) model, an innovative wide and deep cross neural network (WdCN) was proposed in this research to fit the complex correlation between multiple drilling parameters and rOP. Using the drilling data of two ultra-deep wells in Tarim Oilfield, the intelligent rOP prediction models of dNN, WdL, dCN, and WdCN were established, and four cases were established to evaluate the fitting ability and migration ability of the models. The results show that the mean relative error (MrE) of the WdCN rOP prediction model in adjacent wells is the lowest at 11.36%, and the maximum increase is 7% compared to the dNN model, showing a high fitting ability and migration ability. © 2023, The Authors. All rights reserved.

关键词： Neural network models

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Simulation of rock-Breaking Ability of Polycrystalline diamond Compact Cutter Based on rock Mechanics Experiment After Heat Treatment

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Journal of Energy resources technology, Part B: Subsurface Energy and Carbon Capture 2025年第2期1卷 021007页

作者： Yin, Qishuai Wen, Zhiliang ren, Laiao Qu, Ximo Li, Qianyu Zhou, Bo MOE Key Laboratory of Petroleum Engineering China University of Petroleum Beijing 102249 China China Oilfield Services Limited Tianjin 300451 China https://***/041qf4r12China University of Petroleum Beijing MOE Key Laboratory of Petroleum Engineering China University of Petroleum Beijing 102249 China CNPC Engineering Technology R&D Company Limited Beijing 102206 China

When drilling in geothermal and deep formations, the rock-breaking mechanism of high-temperature formations is not clear. In this work, mechanical tests of rocks subjected to high temperatures were carried out, and rock-breaking models of bottom hole thermal stress dispersion and polycrystalline diamond compact (PdC) cutter were established. Aiming at efficient rock breaking pursued by drilling in high-temperature formation, rock-breaking simulations of PdC cutters with different front rake angles under the condition of temperature and confining pressure changes were carried out based on critical penetration depth. The mechanism of rock breaking is analyzed from the point of view of stress variation in the process of brittle rock breaking. The study shows that rock plasticity is enhanced after high temperature, and the temperature difference between the drilling fluid and bottom hole will make the outer part of the bottom hole shrink obviously. Under the conditions of this study, the optimal rock-breaking angle of the PdC cutter is 20 deg. The confining pressure of deep high-temperature formation will hinder rock breaking at a lower value range, and rocks under high confining pressure are more prone to brittle fracture. The increase of rotational speed has an obvious promotion stage for efficient rock breaking, and too large rotational speed will result in low brittle rock-breaking efficiency. These works are helpful in understanding the efficient brittle rock-breaking mechanism in high-temperature drilling, and can provide references for tooth design and rotational speed optimization of PdC bits.

关键词： critical cutting depth high-temperature drilling parameter optimization numerical simulation geothermal energy petroleum wells-drilling/production/construction geomechanics

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Co-training Semi-supervised Learning Algorithm for Classification of Seismic Facies of Carbonate Tidal Channels 11th

Co-training Semi-supervised Learning Algorithm for Classific...

引用

11th International Field Exploration and development Conference, IFEdC 2021

作者： Wang, ru-yi Wang, Zhi-zhang Yang, Xiang-Tong Xu, Zhen-yong Guo, Fa-jun Downhole Operation Research Department CNPC Engineering Technology R&D Company Limited Beijing China College of Geosciences China University of Petroleum-Beijing Beijing China Research Institute of Petroleum Exploration and Development Beijing China Research Institute of Exploration and Development PetroChina Hua Bei Oilfield Company Shangqiu China

ISBN: (纸本)9789811921483

This primary goal of this study was to improve the accuracy of seismic identification of carbonate tidal channels and to achieve quantitative characterization of seismic facies. This paper is the first to present a co-training semi-supervised learning algorithm for use with seismic and drilling data to identify the sedimentary microfacies patterns of tidal channels within carbonate reservoirs. Co-training is a semi-supervised machine learning algorithm by which the feature dataset is split into two subsets, and a classifier is established for each feature subset. Each subset is re-trained based on the classification results of the other subset until the same classification results are obtained for most of the data in the two subsets. Taking the Mb1-3 subzone of the Mishrif Formation, West Qurna Oilfield-1 (Iraq) as an example, we employed zero-crossing-wrapping method to extract 18 seismic attributes of the target zone. The sliding window method was used to optimize 12 seismic attributes, and a hierarchical clustering algorithm based on correlation coefficients was used to group these seismic attributes. Using the two seismic attribute groups as feature data, we employed logistic regression, decision tree, and the k-nearest neighbor classifiers to conduct co-training semi-supervised learning for the classification and identification of tidal channels and lagoons. The results showed that the co-training semi-supervised learning algorithm improved the accuracy rate of each classifier, reduced background noise and clutter signals, and enhanced the continuity of the plane distribution of the tidal channel prediction results. In summary, the co-training semi-supervised learning algorithm significantly improved the efficiency of seismic facies identification of tidal channels. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Learning algorithms

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Thermosensitive core-shell polymer microspheres for enhanced wellbore stability in deep-water water-based drilling fluids

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Journal of Molecular Liquids 2025年 418卷

作者： Wang, Zhongyi Sun, Jinsheng Lv, Kaihe Lu, Haiying Geng, Yuan Huang, Xianbin Shandong Qingdao266580 China CNPC Engineering Technology R&D Co. Ltd. Beijing102206 China PetroChina Tarim Oilfield Branch Korla Xinjiang841000 China

The particular geological conditions present in deepwater wells, including specialised stratigraphic depositional processes, low mudline temperatures and high bottomhole temperatures, present a significant challenge to the construction of drilling rigs. This problem places new demands on the temperature resistance and wellbore stability performance of deepwater water-based drilling fluids. In this study, a thermosensitive core–shell polymer microsphere, NVPS, was prepared with a d50 value of 2.42 μm and a pronounced core–shell structure, which is capable of withstanding temperatures up to 180℃. At a concentration of 2 wt% of NVPS, the roll recovery at 180℃/16 h reached 98.53 % (22.95 % in clear water), and the linear expansion at 24 h was only 32.77 % (69.34 % in clear water). The material exhibited a pronounced hydration inhibition effect. The contact angle of water on the surface of shale chips treated at 180℃/16 h was 131.7° (53.9° for shale chips treated at 25℃/16 h) at a NVPS concentration of 2 wt%. It was demonstrated that NVPS produces a significant thermosensitive effect at elevated temperatures, which significantly enhances the hydrophobicity of the wellbore surface. The organic carbon adsorption of shale chips was found to be 108.11 mg/g (0.1338 mg/g in clear water) following hot rolling of the shale chips in an NVPS aqueous solution at 180℃ for 16 h. This indicates the presence of NVPS adsorption on the surface of the shale chips. The micromorphological analysis demonstrated that NVPS is capable of effectively adsorbing and residing on the surface and within the pores of a range of media. It was observed that NVPS can effectively adsorb and reside in the pore space. The thermosensitive groups in the shell layer of NVPS produce a thermosensitive effect when the temperature rises, which enhances the hydrophobicity and forms a wide and dense hydrophobic layer. This process hinders the intrusion of water molecules and inhibits the hydration and swelling of cl

关键词： Microspheres

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Study on the design method of distorted model testing for cementing casing string systems based on the similarity of stiffness and mass

Journal of Engineering Research (Kuwait)

引用

Journal of engineering research (Kuwait) 2025年

作者： Wang, Liyan Yin, Yiyong Qi, Linshan Qu, Congfeng Yu, Yongjin Liu, Binhui Xia, Xiujian College of Engineering China Agricultural University Beijing 100083 China CNPC Engineering Technology R&D Co. Ltd Beijing 102206 China

In the test design of large-scale scaled models (complete similarity models) of the cementing casing string systems (CCSS), the large length-diameter ratio of the casing string causes the wall thickness of model too thin to manufacturing. Therefore, this study proposes a test design method based on similarity in stiffness and mass for the unequal scale scaled models (distorted similarity models) of the CCSS. Firstly, a dynamic model of the CCSS is established and solved by the separation of variables method and modal superposition method. The accuracy of the dynamic model and the efficiency of the solution are verified by tests and finite element analysis respectively. Then, based on the dynamic model and its analytical solution, the equation analysis method is used to derive the similarity criteria for the complete similarity model of the system. Based on theoretical calculations, it is found that the predicted vibration characteristics and dynamic response results of the prototype system through the complete similarity model are highly accurate. To further solve the problem of difficulty in manufacturing complete similarity model tests with large scaling ratios, considering the similarity of the quality and stiffness of the CCSS, the similarity criteria for the distorted similarity model of the CCSS is derived. In order to achieve high accuracy in theoretical calculation and prediction, the length-diameter ratio of the model needs to be greater than 60. The correctness of predicting the prototype dynamic response through the distorted similarity criterion is verified through theoretical models and test, and a detailed process for designing the similarity model experiment of the CCSS is provided. Finally, robustness analysis, sensitivity analysis, and uncertainty analysis are conducted on the dynamic response and similarity criteria of the CCSS under different parameters. The analysis results indicate that the similarity criterion can accurately predict the vibrati

关键词： Cementing casing string system Complete similarity model distorted similarity model Equation analysis method Model test

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real-Life demonstration of Blockchain Based Flexibility Trading Between FSPs and dSO

Real-Life Demonstration of Blockchain Based Flexibility Trad...

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2023 IEEE Asia Meeting on Environment and Electrical engineering, EEE-AM 2023

作者： Gazioglu, Ibrahim Vu Van, Thong Buyuk, Ali Fuat Eren, Tugce Tuan, Le Anh Oana, Carmen Smart Systems R&d Osmangazi Electricity Distribution Company Eskisehir Turkey Emax Brussels Belgium Chalmers University of Technology Department of Electrical Engineering Gothenburg Sweden Simavi Bucharest Romania

ISBN: (纸本)9798350381061

This study demonstrates the flexibility trading process between a distribution system operator (dSO) and potential flexibility service providers (FSPs) using a framework consisting of a blockchain-based P2P trading platform and other auxiliary platforms. Within this framework, a demo study was conducted with real distribution system's assets and systems on the trading platform where the dSO specified its flexibility needs and FSPs were able to offer their flexibilities to support the dSO. In the study, vehicle-to-grid (V2G) compatible electric vehicle charging station and stationary battery storage system were used as flexible assets. The trading process was conducted within the specified time and price range through the platform, involving the FSPs and the dSO. As a result, the flexibility was provided to a local LV grid, leading to a 17% reduction in the load of the distribution transformer owned by the dSO. © 2023 IEEE.

关键词： Vehicle-to-grid

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development and Performance Evaluation of a New Type of Temperature resistant Surfactant for Ultra-deep Well Casing Flushing

SSRN

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SSrN 2024年

作者： Song, Hanxuan Guo, Jixiang Kiyingi, Wyclif Wang, Xiwen He, Aiguo Li, Jiao Guo, Jixiang Chen, Xiangwei Wang, Li State Key Laboratory of Petroleum Resource and Prospecting China University of Petroleum Beijing China Unconventional Petroleum Research Institute China University of Petroleum Beijing102249 China CNPC Engineering Technology R&D Company Limited

during the ultra-deep well drilling process, drilling fluid tends to remain in the casing, contaminating it and affecting the progress of completion engineering. To address this issue, a screening method was employed to select non-ionic surfactants, with fatty alcohol polyoxyethylene ether (AEO-7) being chosen among various types. To overcome the temperature resistance issue of AEO-7, Phthalic anhydride (PA) was introduced into AEO-7, and neutralization reaction with NaHCO3 was carried out to synthesize a novel surfactant (SEO). High-temperature and high-pressure precipitation testing equipment and high-temperature cleaning equipment were set up to study the temperature-resistant cleaning performance of SEO. results indicate that surfactant SEO maintains good solubility in high-temperature environments in the solution through ionic bonding. At 200°C, the cleaning efficiency of SEO solution for different types of drilling fluid residues exceeds 95%. Additionally, SEO adsorption on metal surfaces can inhibit Cl- corrosion. Combined with micro-mechanism characterization results, SEO can disperse solid particles, adsorb organic phases, reduce interfacial tension, and achieve efficient cleaning. Field experimental results show that the surface tension retention rate of well-flushing fluid after cleaning is 95.8%, with a solid particle content of 5.4g/L, meeting onsite requirements and broad application prospects. © 2024, The Authors. All rights reserved.

关键词： Surface active agents

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Optimization calculation method of ultra-deep production logging velocity profile correction coefficient 6

Optimization calculation method of ultra-deep production log...

引用

6th International Conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2024

作者： Wang, Huawei Zhu, Lei Liu, Xianyuan Liu, Zhizhen Zhou, Wenyuan Tian, Longmei Song, Wenguang Tarim Oilfield Company PetroChina Xinjiang Korla841000 China Cnpc R&d Center for Ultra-Deep Complex Reservoir Exploration and Development Xinjiang Korla841000 China Engineering Research Center for Ultra-Deep Complex Reservoir Exploration and Development Xinjiang Uygur Autonomous Region Xinjiang Korla841000 China Guangdong Ocean University School of Computer Science and Engineering Yangjiang529500 China

ISBN: (纸本)9798350386974

In recent years, with the continuous development of China's industry, the country's demand for petroleum energy has also increased. Therefore, maintaining stable production in oil fields is crucial for ensuring the stable development of the Chinese economy. dynamic monitoring of production logging is an important means of stabilizing and increasing oil and gas production. Generally, the flow rate values of fluids in each production layer in the production wellbore are measured using a turbine flowmeter. When measuring flow in the production wellbore using a turbine flowmeter, it is placed at the center of the wellbore fluid due to supporting equipment. The flow value measured by the turbine flowmeter is the flow value at the center of the wellbore. during the measurement process, when the turbine flowmeter is centered, it reflects the velocity Va of the fluid in the middle of the casing wellbore. In order to accurately obtain the cross-sectional flow rate value of the wellbore, it is necessary to measure the velocity value Vm of the fluid in the cross-section of the casing wellbore. At this point, dividing Vm by Va is denoted as Cv. The traditional method takes Cv as a constant value of 0.83. By studying the fluid velocity value in ultra deep production logging, it was found that the value Cv is not a constant value of 0.83. This value is closely related to the wellbore inner diameter, the ratio of turbine blade diameter to wellbore inner diameter, fluid density value, fluid viscosity value, and average fluid velocity value. This article designs an iterative optimization calculation method to calculate the Cv value. Comparing and analyzing the results of iterative optimization calculation with experimental values, it was found that the calculation accuracy of this method reached 97%. It can fully meet the requirements of calculating the fluid velocity value in the wellbore for production logging. © 2024 IEEE.

关键词： Oil well logging

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