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, Available online  
Abstract:
Application and Prospect of Geophysical Exploration Technologies in Large-Scale Oil and Gas Engineering Construction
JING Shaodong, MA Xuedong, YAN Yuefeng, SUN Huaifeng
, Available online  , doi: 10.12090/j.issn.1006-6616.2026054
Abstract (46) PDF (2526KB)(12)
Abstract:
The construction of large-scale oil and gas engineering projects serves as a strategic cornerstone for ensuring national energy security. Various types of projects, including long-distance pipelines, refining and chemical engineering, and underground storage facilities, are being advanced synergistically, playing an irreplaceable supporting role in the national economy and people's livelihoods. Integrated site investigation, running through from site selection and design to construction and operation. Its core tasks are accurately identifying geological hazards along long-distance pipelines, foundation conditions of refining and chemical plant sites, rock mass integrity and stability in underground spaces. However, poor adaptability to complex terrains, limited detection range, disturbance and damage to the site, high costs and long time remain the shortcomings of current drilling technologies. Engineering geophysical, leveraging the unique advantages of non-destructive, rapid, and capable of 3D exploration, have become the answer of the aforementioned challenges. Methods such as Controlled Source Audio-frequency Magnetotellurics (CSAMT), Electrical Resistivity Tomography (ERT), shallow seismic exploration, Ground Penetrating Radar (GPR), and microtremor surveys have been widely applied in oil and gas projects. Appropriate combinations of geophysical methods have demonstrated significant effectiveness in pipeline investigation, foundation exploration in karst-developed areas, and underground storage facility investigation. With the maturation of Unmanned Aerial Vehicle (UAV) technology, semi-airborne and fully airborne geophysics will effectively address personnel safety and exploration efficiency issues in complex terrains. Artificial Intelligence (AI)-driven geophysical data processing and inversion techniques are expected to achieve computational acceleration by tens of thousands of times. Airborne-ground-borehole joint inversion will enable 3D high-precision imaging. The development of Distributed Acoustic Sensing (DAS) technology provides a new method for real-time dynamic monitoring of geological. Engineering geophysical is advancing towards intelligence, multi-dimensionality, and real-time capability, which will provide more robust technical support for the construction of large-scale oil and gas engineering projects.
Artificial Intelligence-Empowered Coal Geology: Advances, Challenges, and Prospects
dai shifeng, XU Na, ZHU Wei, li pengfei, qi anliangyu, LIU Yu, yan ruiwen, ZHAO Zhengfu
, Available online  , doi: 10.12090/j.issn.1006-6616.2026060
Abstract (46) PDF (603KB)(24)
Abstract:
[Objective] The rapid development of artificial intelligence has reshaped the research paradigm of geosciences. Coal geology focuses on coal, coal seams, coal-bearing strata, coal basins, and coexisting and associated mineral resources in coal-bearing strata. These research objects exhibit highly complex material compositions, multiscale characteristics, and pronounced spatiotemporal variability. Consequently, the major research directions of coal geology, including coal petrology, coal geology, critical metals in coal-bearing strata, and coalbed methane exploration and development, are highly compatible with artificial intelligence.[Methods] Artificial intelligence is driving coal geology beyond traditional experience-based identification and local statistical analysis toward a new paradigm integrating multi-source data fusion, intelligent prediction, and mechanistic interpretation. It also provides new opportunities for discovering previously unrecognized geological phenomena.[Results] This paper systematically reviews recent advances in the application of artificial intelligence to the intelligent identification of coal macerals, intelligent prediction of coal quality, intelligent assessment of the occurrence modes and resource potential of critical metals in coal, and coalbed methane prediction. Artificial intelligence technologies have significantly improved the efficiency and accuracy of maceral image recognition, coal quality parameter prediction, identification of occurrence patterns of critical metals in coal, and comprehensive resource evaluation. However, several challenges remain, including the scarcity of high-quality datasets, limited cross-regional generalization capability, weak model interpretability, insufficient consistency with geological mechanisms, inadequate knowledge constraints, and limited implementation in engineering scenarios.[Conclusions] Future research should strengthen the construction of standardized large-scale databases, promote the deep integration of geological knowledge with data-driven models, develop interpretable and transferable intelligent models, and establish an intelligent research paradigm oriented toward major scientific questions in coal geology and the green and efficient development of coal-related resources.[Significance] This review highlights the transformative role of artificial intelligence in advancing coal geology from experience-driven analysis toward knowledge-guided intelligent research, providing methodological support for major scientific discovery and the green, efficient development of coal-related resources.
Early Paleozoic Tectonic Transition and Metallogenic Implications in the Eastern Kunlun Orogenic Belt, Qinghai: Evidence from Kunlun River Granites
ZU Muretiabuliyimiti, JIAO He, WANG Yong, huang guobiao
, Available online  , doi: 10.12090/j.issn.1006-6616.2026020
Abstract (58) PDF (2095KB)(30)
Abstract:
Abstract: [Objective] The East Kunlun Orogenic Belt (EKOB) is a fundamental component of the Tethyan tectonic domain and preserves crucial records of the orogen’s evolution. Although remarkable progress has been achieved in tectonic evolution of the EKOB, systematic studies on its western segment remains insufficient. In particular, no unified consensus has been reached on the closure timing of the Proto-Tethyan Ocean, shift of tectonic regimes, provenance of crustal material, and associated metallogenic processes. [Methods] To better constrain the timing of tectonic transition and assess its metallogenic significance for regional polymetallic mineralization, this study conducts integrated petrological, geochemical and zircon geochronological analyses on three representative plutons (North Heihai, Jiadong, and Suhaitu) in the Kunlun River area, with comparisons to coeval granitoids in the eastern EKOB. [Results] Zircon U–Pb dating yields formation ages of 437.7–428.8 Ma for the monzogranites. Geochemically, these rocks belong to calc-alkaline series with weak peraluminosity, and exhibit higher A/NK ratios than coeval monzogranites of the Baitonggou pluton in eastern EKOB. The monzogranites have total REE contents of 212–256 ppm, with (La/Yb)N = 8.78–21.05 and LREE/HREE = 8.15–14.13, reflecting LREE enrichment, flat HREE patterns, and pronounced negative Eu anomalies (0.23–0.73). Primitive mantle-normalized trace element patterns reveal enrichment in large-ion lithophile elements (Rb, K) and depletion in high field strength elements (Nb, Ta, Ti, P). [Conclusions]These characteristics indicate that the monzogranites are highly fractionated I-type granites derived from partial melting of ancient mid–upper crustal basement, and emplaced during a post-collisional extensional transition following Proto-Tethyan Ocean closure. This magmatic event records the tectonic switch from compression to extension and provides potential thermal and material conditions for polymetallic mineralization. The eastern and western EKOB experienced this tectonic transition nearly synchronously, demonstrating synchronous and unified evolutionary processes of the Proto-Tethyan Ocean across the whole EKOB.
Structural Characteristics and Quantitative Deformation Analysis of the Central Segment of the Western Sichuan Depression
LONG Yi, WANG Renfu, DUAN Wenshen, kong xuanlin, DING Yunan, wang chun, zhou xiaorong, QIU Jianhua
, Available online  , doi: 10.12090/j.issn.1006-6616.2026042
Abstract (126) PDF (4729KB)(102)
Abstract:
The central segment of the Western Sichuan Depression, located on the western margin of the Sichuan Basin, has been influenced by the Longmen Shan orogenic belt and has experienced multiple phases of tectonic movement and superimposed modification, resulting in the formation of a complex deep-shallow dual-layer structural system. Based on high-precision three-dimensional seismic data from the central segment of the Western Sichuan Depression, this study conducts fine structural interpretation, selects profiles of typical buried detachment anticlines, and applies the area-depth-strain (ADS) method to perform quantitative analysis of multi-phase structural deformation. In combination with regional structural deformation characteristics, it systematically investigates the structural deformation mechanisms and basin-mountain coupling processes in the central segment of the Western Sichuan Depression. The results show that, bounded by the Middle-Lower Triassic gypsum-salt detachment layer, the central segment of the Western Sichuan Depression is vertically decoupled into a shallow frontal thrust-nappe system in the piedmont and a deep buried detachment deformation system within the basin. The structural deformation in the study area exhibits a segmented pattern along strike, with deep deformation weakening from south to north and shallow deformation strengthening from south to north. This segmentation results from the combined effects of heterogeneous compression of the orogenic belt, differences in basement structure, and spatial variations in the detachment layer. Combined with the ADS quantitative analysis results of detachment anticlines, this study suggests that the multi-phase deformation of detachment anticlines in the central segment of the Western Sichuan Depression displays a pulsed distribution pattern of “early Indosinian deep-level initiation (217 m), middle Indosinian shallow-level dominance (142 m), and late Indosinian overall waning (≤31 m)”, quantitatively revealing an episodic pattern in which the basin-mountain compressional deformation was transferred from deep to shallow levels and from early to late stages. Meanwhile, the differences in shortening amounts between the deep and shallow deformation systems in anticlines A and B indicate a “staggered peak” response over time: the deep deformation system experienced significant shortening during the early Indosinian (anticline B shortening of 217 m), whereas the shallow deformation system responded most strongly to compression during the middle Indosinian (Anxian Movement), together forming a unique coupling style of “deep pre-existing folding–shallow thrust nappe”. The “vertical layering–lateral segmentation–multi-phase quantification” structural understanding system established in this study not only provides a quantitative structural basis for deep to ultra-deep petroleum exploration in foreland basins, but is also of great significance for deepening the understanding of the basin-mountain coupling processes in the central segment of the Western Sichuan Depression.
Paleomagnetic constraints on a two-stage Cenozoic tectonic framework of the South China Block and the southeastern Tibetan Plateau
LIAO Yilian, HUANG Baochun, WANG Jianhua, LU Hongliang, SUN Qishun, CHEN Zaixu
, Available online  , doi: 10.12090/j.issn.1006-6616.2025181
Abstract (205) PDF (5569KB)(57)
Abstract:
[Objective] The kinematic history of the South China Block (SCB) following the breakup of Gondwana is of critical significance for constraining the timing of the initial opening of the Ailao Shan–Song Ma Paleo-Tethys Ocean basin. However, the understanding of this process has been limited by the scarcity of reliable paleomagnetic data. [Methods] In this study, systematic paleomagnetic, rock magnetic, and petrographic analyses were conducted on red beds and limestones of the Upper Silurian Kuanti Formation from the Qujing area, Yunnan Province. [Results] The samples were, however, very likely remagnetized during the Cenozoic. Rock magnetic analyses indicate that the red beds are predominated by hematite as the primary carrier of magnetization, with minor contributions possibly from magnetite/titanomagnetite. Anisotropy of magnetic susceptibility (AMS) results reveal combined features of sedimentary, incipient deformation and strong cleavage fabrics, suggesting that the sediments may have undergone significant syn-depositional or post-depositional tectonic deformation. Lithological observations indicate that the magnetic minerals within both the red beds and limestones are primarily authigenic. From 14 sites (85 red bed and limestone specimens), a stable, high-temperature or high-field characteristic remanent magnetization (ChRM) component, converging towards the origin, was isolated, yielding a mean direction of Declination (Dg) = 332.2°, Inclination (Ig) = 51.6°, precision parameter (kg) = 19.0, confidence cone half-angle of the mean direction (α95) = 9.4° before and of Declination (Ds) = 342.5°, Inclination (Is) = 25.7°, precision parameter (ks) = 15.8, confidence cone half-angle of the mean direction (α95) = 10.3° after the tilt-adjustment. Several fold tests indicate a negative result. The corresponding paleomagnetic pole calculated from the in-situ ChRM direction is located at 64.9°N, 35.2°E (A95=7.9°). This paleomagnetic pole is consistent with reference poles for the SCB between 20~5 Ma, suggesting that the Kuanti Formation underwent remagnetization at approximately 20 Ma. [Conclusion] Integrating these results with previously reported reliable paleomagnetic data from small blocks within the southeastern Tibetan Plateau and the SCB since 50 Ma, as well as prior studies on the tectonic evolution of the southeastern Tibetan Plateau, a two-stage model of co-evolution between the SCB and the southeastern Tibetan Plateau is proposed. During 50~20 Ma, collision between the Indian and Eurasian plates resulted in the uplift and crustal shortening of the southeastern Tibetan Plateau. The fault systems along the southeastern Tibetan Plateau exhibited left-lateral strike-slip motion, which induced clockwise rotation of the SCB relative to stable Eurasia. The amount of clockwise rotation varied across different locations of the SCB, with sites closer to the southeastern Tibetan Plateau fault systems experiencing larger rotations. Since 20 Ma, continuous northward subduction of the Indian Plate beneath Eurasia, combined with multiple dynamic processes, including lower to middle crustal flow, gravitational spreading, mantle convection inducing by the tearing of the Indian Plate, and Pacific–Indian Ocean subduction, has driven clockwise rotation and extrusion of the southeastern Tibetan Plateau. During this stage, the fault systems exhibit right-lateral strike-slip motion, while the SCB underwent counterclockwise rotation relative to stable Eurasia. The magnitude of rotation is generally consistent across different locations. [Significance] Therefore, the transition of the SCB from a “clockwise rotation” to a “counterclockwise rotation” behavior essentially represents a direct manifestation of the shift in the geodynamic regime along the southeastern Tibetan Plateau from vertical uplift to tectonic extrusion. The ~20 Ma paleomagnetic data in this study provide robust evidence for a regional reversal of the tectonic framework along the southeastern Tibetan Plateau.
Wu Chengjie1,2,Zeng Huaien1,2,3,Chen Jun4 ,FengYu5 , Li xi2,3,WeiPengcheng2,3, Yan Baorui1,2
chengjie wu, HuaiEn CENG, jun chen, Yu FENG, xi li, pengcheng wei, baorui yan
, Available online  , doi: 10.12090/j.issn.1006-6616.2025077
Abstract (515) PDF (1363KB)(649)
Abstract:
Accurate prediction of landslide displacement is a crucial component of landslide early warning systems. This paper proposes a landslide displacement prediction model based on Gaussian Process Regression (GPR) combined with diverse time-series feature engineering, achieving high-precision displacement prediction and uncertainty quantification. TAKING THE BAZIMEN LANDSLIDE AS AN EXAMPLE, During the feature engineering phase, displacement lag features, rolling mean of rainfall, rolling variance of reservoir water level, and displacement change rate are constructed. Additionally, temporal decomposition features including monthly and quarterly components are extracted. SUBSEQUENTLY, EMPLOY THREE-FOLD TIME SERIES CROSS-VALIDATION, ALONG WITH A GRID SEARCH SCHEME, TO OPTIMIZE HYPERPARAMETERS IN CONJUNCTION WITH THE TIME SERIES CROSS-VALIDATION STRATEGY, THEREBY MITIGATING THE RISK OF OVERFITTING IN THE SMALL-SAMPLE SCENARIO. The results demonstrate that after incorporating multi-source temporal features, the prediction coefficients of determination (R2) for monitoring points ZG110 and ZG111 at the Bazimen Landslide significantly increase to above 0.99. Metrics such as MAE, RMSE, and MAPE are substantially reduced, indicating a significant improvement in prediction accuracy. This study integrates probabilistic modeling with feature interpretability analysis. The proposed method achieves high-precision landslide displacement prediction in small-sample environments while simultaneously quantifying prediction uncertainty. It provides effective decision support for landslide risk early warning and engineering safety assessment.