Seismic exploration in desert area of Tarim basin

2010 ◽  
Vol 2010 (1) ◽  
pp. 1-3
Author(s):  
Jian Guo ◽  
Diandong Zhao
2004 ◽  
Author(s):  
Wang Xinquan ◽  
Yan Feng ◽  
Duan Mengchuan ◽  
Gao Guocheng ◽  
Zhong Hai

2021 ◽  
Author(s):  
Peng Gengxin ◽  
Duan Mengchuan ◽  
Xu Kaichi ◽  
Zhu Yunhong ◽  
Pei Guangping ◽  
...  

2016 ◽  
Vol 4 (3) ◽  
pp. T337-T346 ◽  
Author(s):  
Yang Ping ◽  
Sun Longde ◽  
Qi Jiafu

The Kuqa area of the Tarim Basin is a typical foreland thrust belt. Abundant petroleum resources are stored in the complex subsalt structures at depths greater than 6500 m. The extremely rugged surface, the severely deformed gypsum-salt cap above the reservoir, and the large burial depth of the overthrust target make it difficult to accurately delineate the target structures. Those geologic challenges translate into geophysical difficulties of complex seismic wavefields, low signal-to-noise ratio (S/N), and poor imaging accuracy, which compound the exploration challenge in the Kuqa area. To meet the exploration challenge, a research campaign has been conducted since 2005 to integrate seismic acquisition, processing, and interpretation. After almost a decade of research effort and pilot applications, a set of techniques, comprised of wide-line large-array acquisition, anisotropic prestack depth migration under rugged topography, complex structure modeling, and structure mapping with varying velocities, was developed. The use of these techniques has much improved the S/N, imaging accuracy, subsequent interpretation, and well placement. As a result, the success ratio of exploration drilling has increased from less than 25% to more than 64% in the Kuqa area of the Tarim Basin.


2018 ◽  
Vol 55 (12) ◽  
pp. 1384-1388
Author(s):  
Youjun Wang ◽  
Jia Jia ◽  
Hao Liu ◽  
Hao Lu ◽  
Caichen Lu ◽  
...  

The vast desert area of the Tarim Basin contains a large amount of loose sediment, and consequently, it is one of the most important sources of aeolian dust in the mid-latitudes of the Northern Hemisphere. However, only limited research has been undertaken on the provenance of the desert sediments. In this study, we investigated the iron mineralogy including magnetic (Mt), hematite (Hm), and goethite (Gt) characteristics of desert sediments from the Tarim Basin and used them to determine their provenance. The results show that the sediments are characterized by a high content of Gt that comprises up to 0.16, 0.45, and 0.99 wt.% of the 31–63, 8–31, and 2–8 μm fractions, respectively. In contrast to Hm and Mt, Gt is significantly enriched in the fine particle size fraction. Consequently, we propose that the desert sediments originate in a cold and humid environment, which favors the formation of Gt and limits the formation of Mt and Hm. The surrounding high mountains appear to be the only location within this vast region with the climatic conditions favoring Gt formation.


Geophysics ◽  
2019 ◽  
Vol 84 (1) ◽  
pp. B59-B74 ◽  
Author(s):  
Zongjie Li ◽  
Yun Wang ◽  
Zichuan Yang ◽  
Haiying Li ◽  
Guangming Yu

As a type of carbonate reservoir and main oil-gas production formation in the Tarim Basin, China, fractures and paleokarst caves in Ordovician limestone are the targets of interest for seismic exploration in the S48 well area. Although conventional 3D, high-density, and wide-azimuth seismic acquisition has been widely applied in the Tarim Basin, we still need to determine what 3D 3C seismic data can further do for the characterization and fluid detection of the carbonate reservoir. In the S48 well area of the Tahe oilfield, we had acquired 3D 3C seismic data with single digital 3C sensors at the same grid, whereas the traditional 1C acquisition had arrayed geophones. Through comparison and analysis of two kinds of seismic data, including field records and migration profiles, some important characteristics can be found: (1) The [Formula: see text]


2020 ◽  
Vol 39 (5) ◽  
pp. 340-344
Author(s):  
Guoxu Shu ◽  
Taikun Shi ◽  
Liang Huang ◽  
Zhenghui Gao ◽  
Gonghe Lv ◽  
...  

The seismic exploration industry continuously demands better imaging quality and consequently requires denser spatial sampling, which increases acquisition cost and time. To alleviate this burden, compressive sensing (CS) theory has been introduced in the design of acquisition geometry, as it requires fewer shot and receiver locations than traditional methods. In 2017, we conducted a field experiment in a desert area in western China. This was the first such test in China to utilize CS theory in a field test. The survey had 1760 shot records with irregular shot and receiver locations designed with guidance from CS theory. By way of data reconstruction, a seismic data set with higher sampling density (7.5 × 7.5 m bin size) was acquired, and the imaging quality was improved significantly compared to existing legacy data (15 × 15 m bin size). These results indicate that a CS-designed acquisition may reduce cost while enhancing imaging quality.


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