Characterization of marine shale in Western Hubei Province based on unmanned aerial vehicle oblique photographic data
Abstract view|131|times PDF download|69|times
Abstract
The marine shale in the Sinian Doushantuo Formation of Qinglinkou outcrop section is well developed, but the current characterization methods for outcrops are unsatisfactory. In this paper, the data of outcrop in the field study area were collected by Unmanned Aerial Vehicle, then processed and interpreted by oblique photography technology combined with manual investigation. Subsequently, we established a quantitative geological knowledge database of the shale formations and carried out the typical section of anatomy analysis. The results showed that the high-precision image information captured by unmanned aerial vehicle oblique photography technology can be well coupled with a three-dimensional coordinate system. The three-dimensional digital model was used to characterize the lithologic assemblage, thickness and distribution characteristics of the target reservoir. Based on this digital model, we established the three-dimensional lithology and the total organic carbon models of the outcrop area. The spatial distribution characteristics of interbedding between marine dolomite and shale in the outcrop area were displayed, and the distribution of total organic carbon was revealed under lithological constraints. The models are beneficial for the analysis and prediction of the lithology and total organic carbon, which is of great significance to the understanding of shale gas sweet spots.
Cited as: Yin, S., Feng, K., Nie, X., Chen, Q., Liu, Y., Wang, P. Characterization of marine shale in Western Hubei Province based on unmanned aerial vehicle oblique photographic data. Advances in Geo-Energy Research, 2022, 6(3): 252-263. https://doi.org/10.46690/ager.2022.03.08
Keywords
Full Text:
PDFReferences
An, Z., Tong, J., Ye, Q., et al. Neoproterozoic stratigraphic sequence and sedimentary evolution at Qinglinkou Section, East Yangtze Gorges Area. Earth Science (Journal of China University of Geosciences), 2014, 39(7): 795-806. (in Chinese)
Azri, M. S., Khairul N. T. Identification of rut and pothole by using multirotor unmanned aerial vehicle (UAV). Measurement, 2019, 137: 647-654.
Bowker, K. A. Barnett Shale gas production: Fort Worth Basin—Issues and discussion. AAPG Bulletin, 2007, 91(4): 523-533.
Caravaca, G., Le Mouélic, S., Mangold, N., et al. 3D digital outcrop model reconstruction of the Kimberley outcrop (Galecrater, Mars) and its integration into Virtual Reality for simulated geological analysis. Planetary and Space Science, 2020, 182: 104808.
Fernando, C., Navarro-Ortega, A. D., Agüera-Vega, F., et al. Virtual reconstruction of damaged archaeological sites based on Unmanned Aerial Vehicle Photogrammetry and 3D modelling: Study case of a southeastern Iberia production area in the Bronze Age. Measurement, 2019, 136: 225-236.
Galvis, H., Becerra, D., Slatt, R. Lithofacies and stratigraphy of a complete Woodford Shale outcrop section in South Central Oklahoma: Geologic considerations for the evaluation of unconventional shale reservoirs. Interpretation, 2018, 6(1): SC15-SC27.
Gilham, J., Barlow, J., Moore, R. Detection and analysis of mass wasting events in chalk sea cliffs using UAV photogrammetry. Engineering Geology, 2019, 250: 101-112.
Jia, A., Wei, Y., Jia, Y. Progress in key technologies for evaluating marine shale gas development in China. Petroleum Exploration and Development, 2016, 43(6): 1035-1042.
Katz, B., Lin, F. Lacustrine basin unconventional resource plays: Key differences. Marine and Petroleum Geology, 2014, 56: 255-265.
Loucks, R. G., Ruppel, S. C. Mississippian Barnett Shale: Lithofacies and depositional setting of a deepwater shale-gas succession in the FortWorth Basin, Texas. AAPG Bulletin, 2007, 91(4): 579-601.
Mirko, F., Matteo, S., Doug, S., et al. A new fast and low-cost photogrammetry method for the engineering characterization of rock slopes. Remote Sensing, 2019, 11(11): 1267.
Mohamed, O. A., Roger, M. S. Lithofacies and sequence stratigraphy of the Barnett Shale in east-central Fort Worth Basin, Texas. AAPG Bulletin, 2012, 96(1): 1-22.
Picke, A., Frechette, J. D., Comunian, A., et al. Building a training image with digital outcrop models. Journal of Hydrology, 2015, 531: 53-61.
Singh, P. Lithofacies and sequence-stratigraphic framework of the Barnett Shale, Northeast Texas. Norman, University of Oklahoma, 2008.
Wang, Z., Liu, J., Jiang, H., et al. Lithofacies paleogeography and exploration significance of Sinian Doushantuo depositional stage in the middle-upper Yangtze region, Sichuan Basin, SW China. Petroleum Exploration and Development, 2019, 46(1): 41-53.
Xu, S., Gou, Q., Hao, F., et al. Shale pore structure characteristics of the high and low productivity wells, Jiaoshiba shale gas field, Sichuan Basin, China: Dominated by lithofacies or preservation condition? Marine and Petroleum Geology, 2020a, 114: 104211.
Xu, S., Gou, Q., Hao, F., et al. Multiscale faults and fractures characterization and their effects on shale gas accu-mulation in the Jiaoshiba area, Sichuan Basin, China. Journal of Petroleum Science and Engineering, 2020b, 189: 107026.
Yahya, A., Mohammad, E., Eyad, A., et al. Heritage documentation using laser scanner and photogrammetry: The case study of Qasr Al-Abidit, Jordan. Digital Applications in Archaeology and Cultural Heritage, 2019, 16: e00133.
Yin, S., Gao, Y., Hu, Z., et al. Multiple-point geostatistical simulation of outcrop based on UAV oblique photo-graphic data: A case study of Shihezi Formation in Pingtou township, Lvliang city, Shanxi. Acta Petrolei Sinica, 2021a, 42(2): 198-216. (in Chinese)
Yin, S., Zhu, B., Wu, Y., et al. Lithofacies architecture and distribution patterns of lacustrine mixed fine-grained rocks: A case study of Permian Lucaogou Formation in Jimsar Sag, NW China. Frontier in Earth Science, 2021b, 9: 1006.
Zhai, G., Wang, Y., Xia, X., et al. The Law of Shale Gas Enrichment and the Key Technology of Exploration in the Oxi Seismic System-Cambrian System. Beijing, China, Geological Publishing House, 2020. (in Chinese)
DOI: https://doi.org/10.46690/ager.2022.03.08
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.