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Case study on the combined use of surface seawater injection and depressurization for sustainable natural gas hydrate extraction

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JOURNAL OF CLEANER PRODUCTION 2025年 494卷

作者： Zhang, Zhaobin Li, Yuxuan Li, Shouding He, Jianming Li, Xiao Lu, Cheng qin, xuwen Chinese Acad Sci Inst Geol & Geophys Key Lab Deep Petr Intelligent Explorat & Dev Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China China Geol Survey Minist Nat Resources Beijing 100037 Peoples R China

In response to the issue of inefficient extraction of natural gas hydrates due to a lack of heat supplementation during long-term production, a combined extraction method integrating surface seawater injection and depressurization has been proposed. Under the premise that the surface seawater injection pipeline possesses certain thermal insulation properties, this method can sustainably harness solar energy to replenish the thermal energy of gas hydrate reservoirs. Numerical simulations based on a validated three-dimensional heterogeneous model from the 2013 Nankai Trough pilot production in Japan demonstrate that this method significantly enhances hydrate extraction efficiency compared to depressurization alone. The results show that, over a 500-day production scenario, methane recovery efficiency can be enhanced by up to 150%. The study reveals that only an appropriate injection temperature can effectively improve the efficiency of hydrate exploitation. Compared to the depressurization-only method, this extraction approach increases the temperature driving force (TDF) near the injection well improved by up to 12 K. However, higher injection rates suppress depressurization effects, requiring a balance between injection temperature and rate. The proposed approach also facilitates more uniform reservoir deformation, reducing localized subsidence risks. These findings suggest that the combined surface seawater injection and depressurization method provides an effective and environmentally friendly solution for sustainable hydrate exploitation.

关键词： Natural gas hydrate Surface seawater injection Injection temperature and rate Temperature driving force Reservoir deformation

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CUG-STCN: A seabed topography classification framework based on knowledge graph-guided vision mamba network

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INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 2025年 136卷

作者： Wang, Haoyi Chen, Weitao Li, Xianju Liang, Qianyong qin, xuwen Li, Jun China Univ Geosci Fac Comp Sci Wuhan 430074 Peoples R China China Univ Geosci Key Lab Geol Survey & Evaluat Minist Educ Wuhan 430074 Peoples R China China Geol Survey Guangzhou Marine Geol Survey Guangzhou 511400 Peoples R China China Geol Survey China Aero Geophys Survey & Remote Sensing Ctr Nat Beijing 100083 Peoples R China

Multibeam sounding is a high-precision remote sensing method for seabed detection. Seabed topography classification is crucial for marine science research, resource exploration and engineering. When using multibeam data for seabed topography automatic classification, the fuzzy boundaries of different topographic entities, redundancy of multimodal data, and the lack of geological knowledge guidance have led to low classification accuracy. Thus, a knowledge graph-guided vision mamba seabed topography classification network (CUG-STCN) was constructed, consisting of three modules: (1) The long sequence modeling mamba-based encoder addresses the fuzzy seabed topography boundary. It uses 2D-selective-scan to create image blocks in different scanning directions. By combining with the selective state space model to capture long-range dependencies and ensure transmission of spatial context information while maintaining linear computational complexity. (2) The crossmodal information interaction and fusion module addresses the redundancy of multimodal information. By employing a bidirectional information interaction mechanism, it captures the correlations of seabed topography between different modalities and achieving feature fusion. (3) The seabed topography knowledge graph-guided semantic perception module guides the geological knowledge. It constructs seabed topography knowledge vectors through entity query and word embedding, using the similarity between vectors to create a similarity measurement matrix. It provides geological knowledge, enhancing the modeling capability of complex seabed topography relationship. CUG-STCN achieves OA of 90.11% and mIOU of 48.50%, outperforming six mainstream networks, which at most, achieve the OA and mIOU improvements of 5.37% and 14.18%. Notably, the application of CUG-STCN in other regions demonstrates its strong generalization performance.

关键词： Multibeam Seabed topography Mamba Knowledge graph Remote sensing

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Remote sensing intelligent interpretation for geology: from the perspective of geological exploration

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INTERNATIONAL GEOLOGY REVIEW 2025年第10期67卷 1389-1391页

作者： Afandi, Achmad Chen, Weitao Li, Xianju qin, xuwen Wang, Lizhe Univ Pendidikan Indonesia Dept Phys Educ Bandung Indonesia

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Carbon sequestration in overlying methane hydrate layers via hydrate technology: Feasibility and synergistic benefits

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ENVIRONMENTAL TECHNOLOGY & INNOVATION 2025年 37卷

作者： Zhang, Zhaobin Li, Yuxuan Li, Shouding He, Jianming Xie, Zhuoran Li, Xiao Lu, Cheng qin, xuwen Chinese Acad Sci Inst Geol & Geophys Key Lab Deep Petr Intelligent Explorat & Dev Beijing 100029 Peoples R China Chinese Acad Sci Innovat Acad Earth Sci Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China China Geol Survey Minist Nat Resources Oil & Gas Resources Survey Beijing 100083 Peoples R China China Geol Survey Minist Nat Resources Beijing 100037 Peoples R China

Excessive carbon dioxide emissions pose a global environmental issue, and carbon sequestration technology offers a solution. This study based on independently developed simulator proposes a novel approach for carbon dioxide sequestration in the overlying layers of methane hydrate reservoirs using carbon dioxide hydrate technology. The feasibility and risks of this method are evaluated over a time scale of 100,000 years. Results show that carbon dioxide migrates upwards after injection, forming highly saturated hydrate shells at the migration front. Within these carbon dioxide hydrate shells, a portion of the carbon dioxide is sequestered in liquid and dissolved forms;however, over tens of thousands of years, 20% of the COQ will dissolve, while less than 1% will escape. The study highlights the synergy between methane hydrate extraction and carbon sequestration, as the cold seawater down draw effect from extraction enhances sequestration efficiency and safety. Given the widespread distribution of methane hydrate reservoirs globally, this research provides new insights into carbon sequestration technology.

关键词： Carbon dioxide sequestration Hydrate Carbon dioxide hydrate shells Carbon dioxide escapes Methane hydrate extraction

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Comprehensive feasibility analysis of carbon dioxide hydrate sequestration: A numerical study based on horizontal well networks

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ENVIRONMENTAL TECHNOLOGY & INNOVATION 2025年 37卷

作者： Li, Yuxuan Zhang, Zhaobin Li, Shouding He, Jianming Xie, Zhuoran Li, Xiao Lu, Cheng qin, xuwen Chinese Acad Sci Inst Geol & Geophys State Key Lab Deep Petr Intelligent Explorat & Dev Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Minist Nat Resources China Geol Survey Beijing 100037 Peoples R China

Carbon dioxide sequestration is a crucial strategy for achieving carbon neutrality. This study explores a novel approach to carbon dioxide storage in marine environments in the form of hydrate, addressing the stringent site requirements of traditional geological storage methods. Using a custom-developed simulator, a conceptual model for carbon dioxide sequestration in subsea reservoirs under a horizontal well network configuration was constructed. Key factors, including seawater depth, injection depth, and well spacing, were analyzed through simulations to quantify carbon dioxide storage capacity and assess associated risks under various sequestration scenarios. The results indicate that increasing seawater depth boosts both COQ storage capacity and safety, while deeper injection enhances safety but reduces hydrate storage capacity and raises leakage potential. Closer well spacing improves early-stage safety but increases long-term risks. The study outlines distinct sequestration stages and provides detailed analyses of COQ migration and phase transformations over time, contributing insights for advancing COQ sequestration strategies.

关键词： Carbon dioxide sequestration Hydrate Horizontal well network Seawater depth Injection depth Well spacing

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Comparative analysis of three heating methods for natural gas hydrate production: Electric heating, steam injection, and hot water injection

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APPLIED THERMAL ENGINEERING 2025年 269卷

作者： Zhang, Zhaobin Xu, Tao Li, Shouding Guo, Peng Li, Xiao Lu, Cheng Sun, Yiming Wang, Pingkang qin, xuwen Chinese Acad Sci Inst Geol & Geophys Key Lab Deep Petr Intelligent Explorat & Dev Beijing 100029 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China China Geol Survey China Aero Geophys Survey & Remote Sensing Ctr Nat Beijing 100083 Peoples R China Minist Nat Resources China Geol Survey Oil & Gas Resources Survey Beijing 100083 Peoples R China Natl Engn Res Ctr Gas Hydrate Explorat & Dev Guangzhou 510075 Guangdong Peoples R China

Natural gas hydrates are a promising and environmentally sustainable energy resource, but their commercial production remains challenging. External heating is crucial for improving production efficiency. In this study, we employed a self-developed simulator (IGG-hydrate) to compare the thermal performance of three key heating methods: electric heating (EH), steam injection (SI), and hot water injection (WI). Quantitative indicators, including heating and depressurization thresholds, were introduced to assess the effectiveness of each method. The results demonstrate that external heating significantly facilitates hydrate dissociation, with electric heating and steam injection showing comparable gas production rates and early-stage efficiency. However, both electric heating and steam injection methods can cause localized overheating near injection wells, leading to energy inefficiency. In contrast, hot water injection achieves a more uniform temperature distribution and a broader heating range, while avoiding excessive temperature rise. However, it also reduces depressurization efficiency and increases subsidence near the wells. To optimize performance, we propose a steam-water alternating injection strategy: steam is injected initially for rapid dissociation near the wells, followed by hot water injection to extend the heating range and maintain thermal efficiency with the same equipment.

关键词： Heating method Electric heating Steam injection Hot water injection Hydrate

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Study on Flow Behavior and Adsorption Characteristics of Encapsulated Polymer Particles

Study on Flow Behavior and Adsorption Characteristics of Enc...

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2025 International Petroleum Technology Conference, IPTC 2025

作者： Liu, Yongsheng Wei, Bei Hou, Jian Zheng, Ningyu qin, xuwen Zhang, Yang Guo, Zhixin Zhang, Dequan National Key Laboratory of Deep Oil and Gas China University of Petroleum East China Shandong Qingdao China School of Petroleum Engineering China University of Petroleum East China Shandong Qingdao China

ISBN: (纸本)9781959025436

Encapsulated polymer refers to Micro/Nano-scale particles with polymer as the core, which can release the polymer to achieve thickening. Encapsulated polymer flooding is a new type of deep profile control technology suitable for further improving the oil recovery of conventional reservoirs. However, the adsorption and temporary blockage behaviors of encapsulated polymer particles in porous media significantly affect the accurate description of their targeted viscosity enhancement. On this account, we investigated how encapsulated polymer particles adsorb and temporarily block. Using PDMS material microfluidic chips, we investigated the flow behavior of encapsulated polymer in seven different pore throat structures. High-precision pressure sensors and microscopes were employed to real-time capture microscopic flow images of microcapsule particles inside single micro-channels and observe pressure fluctuation characteristics. Based on particle image velocimetry (PIV) systems, we studied the diverting fluid behavior in parallel micro-channels with different width ratios. Building on this, we conducted dynamic adsorption experiments to quantitatively characterize the adsorption and retention behavior of encapsulated polymer particles in porous media. In this study, we observed four phenomena of free flow, surface adsorption, blockage, and multi-particle aggregation slug flow during the flow of encapsulated polymer particles in a single microchannel. In parallel microchannels, the capsule particles exhibited selectivity towards flow paths, primarily entering wider throats. With the increase of the width ratio, the encapsulated polymer particles in the narrow throat are more confined and are more likely to accumulate in the throat and cause blockage. Experiments in porous media show that the adsorption and retention of capsule particles are inversely proportional to the permeability. The particles are more inclined to flow along the high permeability dominant channel. The

关键词： Microfluidics

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Submarine Continental Slopes Stability Prediction of Natural Gas HydratesBased on Machine Learning

Submarine Continental Slopes Stability Prediction of Natural...

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Offshore Technology Conference, OTC 2025

作者： Chen, Yu He, Yufa Wang, Yixuan Zhou, Yunjian Fu, Qiang qin, xuwen Liu, Dingyuan Tian, Zheng Zhang, Kexin CNOOC Research Institute Ltd State Key Laboratory of Offshore Natural Gas Hydrates Beijing China Huairou Laboratory Beijing China China Aero Geophysical Survey and Remote Sensing Center for Natural Resources Beijing China

ISBN: (纸本)9781959025610

In the process of extracting naturally-occurring oceanic gas hydrates, the dissociation of hydrates can causea reduction in soil strength. This reduction has the potential to trigger slope failure and submarine landslides,which present a catastrophic threat to offshore facilities and hydrate production. This research aims to create a robust and accurate machine-learning model that can efficiently predict stability of submarine continental slopes where gas hydrates are widespread. By collecting and analyzing 144 relevant cases, a comprehensive dataset was constructed, incorporating slope basic data, overlying and underlying layer data, and geological parameters of the hydrate layer. After conducting a correlation coefficient analysis between the characteristic parameters of the dataset and the output, the key characteristic parameters were determined. To model the dataset and assess its performance, four machine learning techniques were employed: Random Forest(RF), XGBoost, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). Formation physical parameters, geotechnical parameters, and NGH parameters were taken as input parameters, and the stability of NGH slopes was taken as prediction indicator. Evaluation metrics such as the ROC and confusion matrix were employed to comprehensively evaluate these models’ classification ability. Among these algorithms,the RF algorithm achieves the best prediction accuracy and AUC value, demonstrating its potential in submarine continental slopes stability prediction of natural gas hydrates. Additionally, sensitive analysis using Gini impurity calculations revealed that hydrate decomposition degree is the most significant factor affecting slope stability, followed by the burial depth and thickness of the hydrate layer. The slope angle,cohesion, and internal friction angle also have significant impacts. This study provides a new perspective for predicting submarine continental slopes stability with NGH and offers a scientific

关键词： Landslides

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Enhancing CO2 hydrate sequestration through underlying methane hydrate production: A novel strategy for carbon storage

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Energy 2025年 326卷

作者： Li, Yuxuan Zhang, Zhaobin Zhang, Bo Chalaturnyk, Rick Li, Shouding He, Jianming Xie, Zhuoran Bian, Hang Li, Xiao Lu, Cheng qin, xuwen Key Laboratory of Deep Petroleum Intelligent Exploration and Development Institute of Geology and Geophysics Chinese Academy of Sciences Beijing100029 China College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing100049 China Department of Civil and Environmental Engineering University of Alberta Donadeo Innovation Centre for Engineering EdmontonABT6G 1H9 Canada China Geological Survey Ministry of Natural Resources Beijing100037 China

Seafloor CO2 sequestration in the form of gas hydrates offers expansive geological opportunities for carbon neutrality strategies. Guided by phase equilibrium conditions, this study employs a self-developed multi-physical simulator to investigate how methane hydrate production beneath a CO2 sequestration zone can facilitate carbon storage. A dual-horizontal-well model is constructed and validated based on field measurements. Through numerical simulations, the effects of methane hydrate production timing, CO2 injection rate, and injection depth on carbon sequestration over a 100,000-year timescale are examined. Two novel metrics—sequestration efficiency and safe distance—are introduced. Results indicate that extracting methane hydrates in the later stages of CO2 injection is optimal. Furthermore, an efficient sequestration window exists for both injection rate and depth. By exploring the relationship between sequestration efficiency and storage safety, this study provides a new perspective for implementing CO2 sequestration pathways. © 2025 Elsevier Ltd

关键词： Carbon sequestration

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Finer soil properties mapping framework for broad-scale area: A case study of Hubei Province, China

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GEODERMA 2024年 449卷

作者： Wang, Ruizhen Chen, Weitao Chen, Hao qin, xuwen China Univ Geosci Key Lab Geol Survey & Evaluat Minist Educ Wuhan 430074 Peoples R China China Univ Geosci Fac Comp Sci Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Nat Resource Informat Management & Di Wuhan 430074 Peoples R China China Geol Survey China Aero Geophys Survey & Remote Sensing Ctr Nat Beijing 100083 Peoples R China

Fine-scale spatial distribution of soil physicochemical properties is crucial for soil quality management, agriculture planning and geotechnical engineering. Existing soil map databases are usually developed in national scale, potentially leading to issues of coarse resolution and restricted applicability in fine-scaled studies. For broad-scale area, conventional digital soil mapping methods are challenging due to the lack of representative soil profiles and their uneven distribution. This study addresses these challenges by developing a downscaling-based framework to map 11 soil physicochemical properties at a 30-m resolution. The methodology involves constructing regression models using soil properties derived from coarse national soil maps and soil-forming covariates. Predictions are subsequently refined using fine-resolution covariates. To capture fine-scale spatial variability across diverse landscapes, 30-m resolution remote sensing data, relief, climate, and spatial covariates were prepared. The fine-gridding framework employs tree-based machine learning models, particularly random forest (RF), to enhance prediction accuracy. Evaluation of the fine-gridded soil maps demonstrated commendable results, with high consistency in summary statistics, semi-variograms, and evaluation metrics compared to reference maps. Mass preservation of RF-predicted maps exhibit high performances with both concordance correlation coefficients (CCCs) and coefficients of determination (R(2)s) exceeding 0.9 across most scenarios. This study provides a robust approach for enhancing the spatial resolution of soil maps, facilitating their use in local fine-scale applications. The proposed strategy offers a valuable solution for broad-scale areas that require finer soil maps but lack sufficient qualified soil profiles.

关键词： Digital soil mapping Broad-scale Fine gridding Downscaling Machine learning

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