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  • ACRS 1999


    Poster Session 4

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    Using Multi-temporal Satellite Radar and Optical Remote Sensing Data Sets for an Integrated Analysis of Oil and Gil Geology of Sedimentary Basins in Central China

    Yu Wuyi
    Research Institute of Petroleum Exploration and Development,
    CNPC, China
    Zhu Liangpu and Zhang Chen
    Geology Department of Beijing University


    Abstract
    This study is focused on oil and gas geology in an area of Central China. It demonstrates the integration of remote sensing as well as seismic profiling and extended aeromagnetic data in order to obtain a better and more comprehensive understanding of the three-dimensional structure of multi-layers from surface to basement. Te integrated remote sensing technique employs multi-sensor imagery, data an east-west trending fault-like lineament in the Cahoshui and Yabulai basins can be readily reconginzed on TM, SAR imagery and AVHRR imagery. We believe this feature to be a large-scale linear structure that has a strong control on the development of the basins. The interpretation of the remote sensing data also revealed a series of folds and circular features. The SAR and NOAA play an important role in the recognizing linear features. C-band synthetic aperture radar (SAR) were subjected to a 5x5 adaptive filtering process (Lee); the spatial resolution is relatively high, and there appears to be slight penetration of dry thin-bedded sandstone terrain features.

    Introduction
    The Mesozoic Chaoshui and Yabulai basins are located in the North of the Hexi Corridor in Gansu Province, Central China. It straddles across gains and lnner Mongolia, bounded in the Southwest by the Longshou Mountains and on the Northwest by the Yabulai Mountains. The hilly terrain in between the two basins is called Beidashan, which also border the Badanjilin and Tengeli desert areas. The two basins contain rare vegetation, and to a semi agriculture and pastoral semi-arid desert area. In order to obtain a better understanding of the regional oil & gas geology, we performed a remote sensing data analysis which consisted of the interpretation of multi-platform (Landsat, ERS-1 and NOAA), multi-band(visible light, thermal infrared and microwave) and multi-seasonal (all seasons, day and night) satellite imagery. The results provided structural geological information that was previously not available through conventional exploration techniques.


    Figure 1: Location map of the area

    New E-W Oriented Structure
    Since the two basins are covered by loose, Aeolian desert sands, the controlling EW oriented faults on the development of the basins are partially masked, and their role in the structure setting is not easily recognized from the surface geological survey. With TM, SAR and NOAA image analysis, we obtained a completely new understanding of the EW oriented linear structures of the two basins. This enables us to delineate six structural belts and verify the relationship between the main faults and their importance to the development of the two Mesozoic sedimentary basins. In particular, SAR and NOAA images played a very important role. The 5x5 Lee-filtered ERS-1 C-band SR imagery has a relatively high spatial resolution of 25m and appears to have slight penetration of the dry material originating from thin-bedded sandstone (Fig.2). Analysis revealed the existence of the subsurface EW linear structures in the yabulai Yanchang and Saertai areas. These are interpreted as faults that have not been reported and documented in previous regional geology and petroleum geology reports and TM images. In the low resolution, multi-seasonal NOAA imagery (Band 4 and 5), a major linear feature covered by Tengeli desert can be observed in the southeast of the observed in the southeast of the Chaoshui basin. We interpret this as a fault caused by moisture differences. Due to blocking by the fault, the water table in the area to the North of the fault is shallow, resulting somewhat higher soil moisture which is detected in the NOAA thermal infrared image. Also, there is a relatively high geothermal, light color anomalous display (Fig.3).


    Figure 2: ERS-1 C-band SAR


    Figure 3: NOAA CH5 97/11/17

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