A Non-Uniform Interpolation Method For Seismic Data Based On A Diffusion Probabilistic Model,
2024
School of Mathematics, Harbin Institute of Technology, Harbin 150001, China
A Non-Uniform Interpolation Method For Seismic Data Based On A Diffusion Probabilistic Model, Chen Yao, Yu Siwei, Lin Rongzhi
Coal Geology & Exploration
Objective The non-uniform interpolation of seismic data is identified as a prolonged challenge in energy exploration. Since geophones cannot be precisely placed at positions corresponding to theoretical grid points, current uniform interpolation techniques frequently suffer deviations and detail distortion. Methods This study proposed a novel non-uniform interpolation method based on a diffusion probabilistic model, which is an emerging generative model in deep learning that involves the diffusion and generation processes. In the diffusion process, noise is added to the complete seismic data iteratively to train the denoising capability of the neural network. In the generation process, the neural network is …
A Petrophysical Modeling-Guided Method For Predicting Parameters Of Low-Permeability Reservoirs,
2024
CNOOC (China) Limited Hainan Branch, Haikou 570311, China
A Petrophysical Modeling-Guided Method For Predicting Parameters Of Low-Permeability Reservoirs, Wang Rui, Li Fang, Liu Shiyou, Sun Wanyuan, Li Songling, Huang Sheng
Coal Geology & Exploration
Backgroud Accurately predicting reservoir parameters is significant for characterizing subsurface reservoirs, establishing gas accumulation patterns, releasing production capacity, and understanding fluid migration. The traditional approaches based on core measurement or mathematical-petrophysical modeling are limited by the strong multiplicity of solutions and low accuracy of elastic parameters inversion results, making it difficult to meet the demands of modern exploration.Objective and Methods To more effectively predict reservoir parameters, this study proposed a petrophysical modeling-guided method for predicting parameters of low-permeability reservoirs. With the convolutional neural network (CNN) as a deep learning framework, the proposed method can predict water saturation, clay content, …
Periodic Roof Deformation And Failure And Associated Water Inflow Characteristics During The Mining Of Typical Coal Seams In The Inner Mongolia-Shaanxi Contiguous Area,
2024
College of Geology and Environment, Xi’an University of Science and Technology, Xi’an 710054, China; CCTEG Xi’an Research Institute (Group) Co., Ltd., Xi’an 710077, China; Shaanxi Key Laboratory of Preventing and Control Technology for Coal Mine Water Hazard, Xi’an 710077, China; Shaanxi Engineering Research Center of Mine Ecological Environment Protection and Restoration in the Middle of Yellow River Basin, Xi’an 710077, China
Periodic Roof Deformation And Failure And Associated Water Inflow Characteristics During The Mining Of Typical Coal Seams In The Inner Mongolia-Shaanxi Contiguous Area, Zhou Zhenfang, Dong Shuning, Dong Yang, Luo Shenghu, Xue Jiankun, Wang Zhizhou, Wang Shuxuan, Shang Hongbo, Wang Tiantian, Wang Yutong, Wang Tong
Coal Geology & Exploration
[Objective] The disturbance of coal mine mining damages the aquifer/aquiclude structures of the overburden, causing concentrated water inflow and further affecting safe production in mines. [Methods] Using methods of the physical simulation of similar materials, numerical simulation, and on-site in situ monitoring, this study investigated the water inflow during the mining of the dominant 3-1 coal seam, typically influenced by water in sandstones on the coal seam roof, in the Inner Mongolia-Shaanxi contiguous area. By comparing the measured data of mines with similar geological and mining conditions in the surrounding area, this study delved into the periodic evolutionary patterns of …
Mechanical Characteristics And Fracture Propagation Mechanism Of Deep Coal Reservoirs In The Shenfu Block,
2024
China United Coalbed Methane Co., Ltd., Beijing 100016, China; Provincial Center of Technology Innovation for Coal Measure Gas Co-production, Taiyuan 030008, China
Mechanical Characteristics And Fracture Propagation Mechanism Of Deep Coal Reservoirs In The Shenfu Block, Mi Honggang, Wu Jian, Peng Wenchun, Xu Lifu, Li Yong
Coal Geology & Exploration
[Objective] Clarifying the mechanical properties and in-situ stress distributions of coal seams, along with the mechanisms behind their control over the morphologies and propagation behavior of artificially induced fractures, is crucial to the fracturing design, well pattern deployment, and coalbed methane (CBM) production of deep coal seams. [Methods] This study investigated the Nos. 8 and 9 coal seams of the Taiyuan Formation in the Shenfu block in the northern portion of the eastern margin of the Ordos Basin. Using data from sonic logging, density logging, injection/falloff well tests, and production, this study systematically analyzed the mechanical …
Characteristics Of Gas Bursting And Application Of Layered Cutting Drilling In Outburst Coal Seam,
2024
School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454003, China; Collaborative Innovation Center of Coal Work Safety and Clean High Efficient Utilization, Jiaozuo 454003, China
Characteristics Of Gas Bursting And Application Of Layered Cutting Drilling In Outburst Coal Seam, Wang Yonglong, Zhao Aoqi, Yu Zaijiang, Wang Zhenfeng, Liu Xiao, Ma Denghui, Zhang Hui, Liu Chun
Coal Geology & Exploration
Objective The overlimit gas bursting in the drilling process of outburst coal seam is a safety hazard that threatens the efficient production of the mine. The layered cutting drilling method helps to weaken the burst gas pressure in the borehole, but the characteristics of gas release around the trapezoidal borehole formed by layered cutting are unknown, which limits the structural design and application effect of the layered cutting drilling tool. Methods Herein, study was conducted based on the layered cutting boreholes with different layer spacing and layer thickness difference. Specifically, a mathematical model was established to analyze the gas flow …
Enrichment Patterns And Exploration Countermeasures Of Deep Coalbed Methane In The Linxing-Shenfu Block On The Eastern Margin Of The Ordos Basin,
2024
China National Offshore Oil Corporation, Beijing 100010, China
Enrichment Patterns And Exploration Countermeasures Of Deep Coalbed Methane In The Linxing-Shenfu Block On The Eastern Margin Of The Ordos Basin, Xu Changgui, Ji Hongquan, Wang Cunwu, Zhu Xueshen
Coal Geology & Exploration
Objective Some insights have been gained into the enrichment and accumulation patterns of deep coalbed methane (CBM) in high-rank coal seams on the eastern margin of the Ordos Basin, represented by the Daning-Jixian block. However, the exploration of deep CBM in medium-rank coal seams in the Linxing-Shenfu block, located in the northern segment of the basin's eastern margin remains in its initial stage, leading to an inaccurate and unclear understanding of the enrichment and accumulation patterns. This necessitates summarizing these patterns to effectively guide deep CBM exploration and exploitation. Methods Focusing on the Nos.8 and 9 coal seams of the …
Discovery Of A Large Gas Field Of Deep Coalbed Methane In The Shenfu Block And Its Implications,
2024
CNOOC Ltd., Beijing 100010, China; Provincial Center of Technology Innovation Center of Coal Measure Gas Co-production, Taiyuan 030008, China
Discovery Of A Large Gas Field Of Deep Coalbed Methane In The Shenfu Block And Its Implications, Zhu Guanghui, Ji Hongquan, Mi Honggang, Zhang Yingchun, Sun Qiang, Zhao Wei, Zhu Xueshen, Kang Lifang, Wang Yuchuan
Coal Geology & Exploration
Background After explorations of unconventional natural gas for nearly two decades in the Shenfu block on the eastern margin of the Ordos Basin, deep coalbed methane (CBM) with reserves of 100 billion m3 was discovered in this block in 2023. However, the preliminary exploration of deep CBM in this block faces challenges of insufficient understanding of geological laws, immature fracturing technologies, and a lack of production technologies and experience.Methods and Results Driven by both management and technological innovations, encouraging exploration results have been achieved. The management innovations include: (1) The implementation of a complementary and three-dimensional exploration model …
Predicting The “Sweet Spot” Of Deep Coalbed Methane Based On Resource Conditions And Fracability,
2024
CNOOC Research Institute Co., Ltd., Beijing 100028, China
Predicting The “Sweet Spot” Of Deep Coalbed Methane Based On Resource Conditions And Fracability, Zhao Zhigang, Zhu Xueshen, Wang Cunwu, Zhu Yanhe, Lyu Yumin, Chen Silu, Qi Yu, Tian Yongjing
Coal Geology & Exploration
Objective China has made breakthroughs in the exploration of large-scale deep coalbed methane (CBM) reservoirs along the eastern margin of the Ordos Basin. However, effectively converting the reserves of these reservoirs into production and achieving their efficient exploitation remain unclear. Methods Based on the geological, tests, fracturing, and production performance data, this study conducted research into the assessment of geological-engineering dual “sweet spots” of deep CBM in the southern Shenfu block by focusing on the resource conditions and fracability of deep CBM reservoirs. [Results and Conclusions] Key findings are as follows: (1) The study area hosts suitable coal-forming facies zones …
Processing Of Impulse Noise In Magnetotelluric Data Based On Bidirectional Recurrent Imputation,
2024
Xi’an Center of Mineral Resources Survey, China Geological Survey, Xi’an 710100, China; Technology Innovation Center for Gold Ore Exploration, China Geological Survey, Xi’an 710100, China; School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China
Processing Of Impulse Noise In Magnetotelluric Data Based On Bidirectional Recurrent Imputation, Yang Kai, Liu Cheng, Li Han, He Jinglong
Coal Geology & Exploration
Objective Magnetotelluric sounding is an exploration method to obtain the underground electrical structure by observing the natural electromagnetic field, which is easily disturbed by noise. Impulse noise, frequently occurring in magnetotelluric sounding, generally exhibits high amplitude and wide frequency bands, producing significant impacts on the data quality. Methods To suppress such noise, this study proposed a method based on a bidirectional recurrent imputation for time series (BRITS) model. First, the data segments with noise interference were deleted. Second, for the magnetotelluric time series with missing data to be imputed, training sets were constructed for imputation training of the BRITS model. …
Structure Optimization Of Foam Generator For Soft Coal Seam And Foaming Effect Simulation,
2024
Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Changsha 410083, China; School of Geosciences and Info-Physics, Central South University, Changsha 410083, China; CCTEG Xi’an Research Institute (Group) Co., Ltd., Xi’an 710077, China
Structure Optimization Of Foam Generator For Soft Coal Seam And Foaming Effect Simulation, Jin Xin
Coal Geology & Exploration
Objective The application of air screw drilling technology in gas drainage borehole within soft coal seam presents challenges, including severe dust pollution, low drill bit lifespan, and great difficulty in borehole purification. The use of air screw foam drilling technology is an effective way to solve the problem. A foam generator with good foaming performance is one of the keys to implementing the foam drilling technology. However, most current foam generators could not meet the requirements. Methods In response to this issue, a small-sized foam generator was designed based on the spiral foam generator, with an air kinetic energy conversion …
Artificial Intelligence Logging: Fundamental, Principle, Technique, And Application,
2024
School of Earth Sciences and Engineering, Xi’an Shiyou University, Xi’an 710065, China; State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (Southwest Petroleum University), Chengdu 610500, China; Academician and Expert Workstation, Xi’an Shiyou University, Xi’an 710065, China
Artificial Intelligence Logging: Fundamental, Principle, Technique, And Application, Cheng Xi, Ren Zhanli
Coal Geology & Exploration
Background Intelligent hydrocarbon exploration and exploitation have become a trend and hot research topic in the oil and gas industry. Artificial intelligence logging (AIL) exhibits considerable potential to address challenges in the explore-exploit of unconventional hydrocarbon resources, as well as resources in complex environments in the deep earth and deep ocean. However, the driving mode, fundamental, implementation principle, structure, and application scenarios of AIL remain understudied. Objective and Methods To build a comprehensive ecology of the AIL system and thoroughly explore and reveal the potential and value of AIL, this study employed methods like literature analysis, theoretical research, technical analysis, …
Seismic Data Denoising Based On The Convolutional Neural Network With An Attention Mechanism In The Curvelet Domain,
2024
School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Natural Resources, Xi’an 710054, China; National Engineering Research Center of Offshore Oil and Gas Exploration, Beijing 100028, China
Seismic Data Denoising Based On The Convolutional Neural Network With An Attention Mechanism In The Curvelet Domain, Bao Qianzong, Zhou Mei, Qiu Yi
Coal Geology & Exploration
[Objective] Noise in seismic data significantly affects the accurate interpretation of subsurface stratigraphic information. Given that effective signals with pronounced lateral correlations in seismic data are distributed in specific coefficients but random noise typically spreads uniformly over all coefficients in the curvelet domain, more effective separation of signals can be achieved. [Methods] The convolutional neural network based on the attention mechanism can adaptively extract key information by focusing on important features of images. Hence, this study proposed a noise attenuation method for seismic data using a convolutional neural network based on the curvelet transform and attention mechanism (Curvelet-AU-Net). First, the …
Characteristics And Transformations Of Mineral Phases In Burnt Rocks,
2024
Department of Geology, Northwest University, Xi’an 710054, China
Characteristics And Transformations Of Mineral Phases In Burnt Rocks, Yalikun Rexiti, Huang Lei, Yang Fan, Xue Xiaoyuan, Song Shijun, Hu Jian, Zhang Zeyu, Ji Zhongkui
Coal Geology & Exploration
Objective Burnt rocks are special rocks formed by the surrounding rocks that are baked due to the spontaneous combustion of coal seams. They are extensively distributed in the Yan’an Formation on the northeastern margin of the Ordos Basin. However, the characteristics and formation mechanisms of burning-associated mineral phases in these rocks remain unclear. Methods This study conducted analytical tests and high-temperature heating simulations of protolith to analyze the mineral phases of underground burnt rocks in the Zhangjiamao Coal Mine, Shaanxi Province. Results and Conclusions The results indicate that the underground burnt rocks exhibit enrichment in mafic components, abnormal migration of …
A Cylindrical Permeation And Diffusion Model For Bingham Grout In Water-Rich Sand Layers And Its Experimental Research,
2024
School of Civil Engineering and Architecture, Anhui University of Science & Technology, Huainan 232001, China
A Cylindrical Permeation And Diffusion Model For Bingham Grout In Water-Rich Sand Layers And Its Experimental Research, Wang Xuesong, Cheng Hua, Yao Zhishu, Rong Chuanxin, Xie Bao
Coal Geology & Exploration
Objective The disaster prevention and control for water-rich sand layers pose a major challenge to the safe construction of tunnels and deep foundation pits. Typically, the impermeability and bearing capacity of highly water-rich and weakly cemented sand layers are enhanced through permeation grouting via sleeve valve tubes, with resulting grouting concretions being approximately cylindrical. Methods To explore the cylindrical diffusion mechanism of permeation grouting in sand layers, this study constructed a cylindrical diffusion model of radial tube flow for the permeation grouting of Bingham grout in sand layers while considering the tortuosity effects. Subsequently, this study developed a set of …
Production Characteristics Of Deep Coalbed Methane Wells In The Linxing Block And Associated Their Influencing Factors,
2024
China United Coalbed Methane Co., Ltd., Beijing 100016, China; Provincial Center of Technology Innovation for Coal Measure Gas Co-production, Taiyuan 030008, China
Production Characteristics Of Deep Coalbed Methane Wells In The Linxing Block And Associated Their Influencing Factors, Wang Zhizhuang, Wu Peng, Sun Qiang, Liu Rui, Wang Lingbo
Coal Geology & Exploration
Objective The production characteristics of deep coalbed methane (CBM) are significantly distinguished from those of middle-shallow CBM, and even the production wells of deep CBM within the same block exhibit different characteristics. Given that relevant research remains in its exploratory stage, gaining a deeper understanding of the factors influencing the differences in production characteristics of deep CBM is significant for the production capacity prediction and production management of the subsequent large-scale production stage. Methods To determine the production characteristics of deep CBM in the Linxing block and their influencing factors, this study examined geological engineering factors including gas content, coal …
Pore Structure And Differential Fluid Occurrence Of Deep Coal Seams,
2024
China United Coalbed Methane Co., Ltd., Beijing 100016, China; Provincial Center of Technology Innovation for Coal Measure Gas Co-production, Taiyuan 030008, China
Pore Structure And Differential Fluid Occurrence Of Deep Coal Seams, Wu Jian, Sun Qiang, Shi Xuefeng, Gao Lijun
Coal Geology & Exploration
Objective Breakthroughs have been achieved in deep coalbed methane (CBM) exploration along the eastern margin of the Ordos Basin, exhibiting the characteristics of local breakthroughs but regional differential CBM production in multiple blocks. The pores and fractures in deep coal reservoirs, serving as the material spaces for fluid occurrence and occurrence, are critical to the differential development across deep CBM blocks. Methods In this study, coal samples were collected systematically from the deep part of the Shenfu block located along the eastern margin of the Ordos Basin. Using conventional tests on porosity, permeability, and physical properties, as well as CO …
Technology For Efficient Production Of Deep Coalbed Methane In The Shenfu Block,
2024
China United Coalbed Methane Co., Ltd., Beijing 100016, China; Provincial Center of Technology Innovation for Coal Measure Gas Co-production, Taiyuan 030008, China
Technology For Efficient Production Of Deep Coalbed Methane In The Shenfu Block, Li Bin, Yang Fan, Zhang Hongjie, Feng Lei, An Qi, Hao Zhaobing
Coal Geology & Exploration
Objective Deep coalbed methane (CBM), representing one crucial resource successor for ensuring the oil and gas security of China and achieving peak carbon dioxide emissions and carbon neutrality of the country, exhibits broad prospects for production. However, due to the small low universality of CBM production technologies under varying geological conditions, a technology that has been successfully applied in some blocks cannot be directly extended to other blocks. This leads to blind deployment of well types and well patterns in the early-stage exploration and development of new blocks to a certain extent. Given this, it is necessary to develop a …
Coastal Sedimentary Records Of Extreme Events And Human Activity: Examples From Hurricanes And Microplastics,
2024
Louisiana State University and Agricultural and Mechanical College
Coastal Sedimentary Records Of Extreme Events And Human Activity: Examples From Hurricanes And Microplastics, Nicholas T. Culligan
LSU Doctoral Dissertations
Coastal regions are uniquely vulnerable to a myriad of natural and anthropogenically caused stresses such as hurricane strikes and chronic microplastic pollution. Both hurricanes and microplastics have major negative effects on global coastlines and are forecast to become more damaging in the future. However, current model trends are based on limited modern data and may not provide an accurate or comprehensive view of the future. Therefore, this dissertation investigates coastal stratigraphic records to determine long-term past trends of these presses and pulses so that researchers, stakeholders, and policy makers can use them to enact strategies to mitigate damages from worsening …
Effective Carbon Cost Constraints: Unity Of Environmental Effectiveness, Cost Effectiveness, And Incentive Effectiveness,
2024
The Institute of State Governance, Huazhong University of Science and Technology, Wuhan 430074, China; Collaborative Innovation Center for Emissions Trading System Co-constructed by the Province and Ministry, Wuhan 430205, China
Effective Carbon Cost Constraints: Unity Of Environmental Effectiveness, Cost Effectiveness, And Incentive Effectiveness, Yongping Sun, Jingning Jiang, Xinyu Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The carbon market serves as a crucial policy tool in the pursuit of carbon peaking and carbon neutrality goals. It holds significant importance in driving the innovation of green and low-carbon technologies in China, facilitating the realization of nationally determined contributions, and bolstering China’s global leadership in climate action. The core function of the carbon market is carbon pricing, which can only be effective and achieve various objectives like carbon emissions reduction and sustainable development when carbon costs are reasonably constrained. Environmental effectiveness, cost effectiveness, and incentive effectiveness are three important dimensions to evaluate the effectiveness of the carbon market, …
Scientifically Improving Integrated Water Governance For Resilient Flow Of The Yellow River,
2024
State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Scientifically Improving Integrated Water Governance For Resilient Flow Of The Yellow River, Shuai Wang, Shuang Song, Yanxu Liu, Xutong Wu, Enhui Jiang, Bojie Fu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The severe soil erosion and river channel disconnection along the Yellow River have been curbed. Still, the fundamental situation of prominent contradictions in the relationship between humans and water has not changed. Scientifically enhancing comprehensive management capabilities has become an important demand for high-quality development in the Yellow River basin during this new era. This study summarizes the fundamental ecological and hydrological changes in the Yellow River basin, and identifies three main characteristics, namely, sediment transport has significantly decreased, water resource shortages have intensified, and the relationship between humans and water has changed significantly. The four key challenges for sustainable …
