Research on Test and Logging Data Quality Classification for Gas–Water Identification

Zehou Xiang, Kesai Li, Hucheng Deng, Yan Liu, Jianhua He, Xiaoju Zhang and Xianhong He
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Zehou Xiang: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Kesai Li: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Hucheng Deng: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Yan Liu: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Jianhua He: College of Energy, Chengdu University of Technology, Chengdu 610059, China
Xiaoju Zhang: College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China
Xianhong He: College of Energy, Chengdu University of Technology, Chengdu 610059, China

Energies, 2021, vol. 14, issue 21, 1-18

Abstract: Tight sandstone oil and gas reservoirs are widely distributed, rich in resources, with a bright prospect for exploration and development in China. Due to multiple evolutions of the structure and sedimentary system, the gas–water distribution laws are complicated in tight sandstone gas reservoirs in the northern Ordos area. It is difficult to identify gas and water layers in the study area. In addition, in the development and production, various factors, such as the failure of the instrument, the difference in construction parameters (injected sand volume, flowback rate), poor test results, and multi-layer joint testing lead to unreliable gas test results. Then, the inaccurate logging responses will be screened by unreliable gas test results for different types of fluids. It is hard to make high-precision fluid logging identification charts or models. Therefore, this article combines gas logging, well logging, testing and other data to research the test and logging data quality classification. Firstly, we select reliable standard samples through the initial gas test results. Secondly, we analyze the four main factors which affect the inaccuracy of gas test results. Thirdly, according to these factors, the flowback rate and the sand volume are determined as the main parameters. Then, we establish a recognition chart of injected sand volume/gas–water ratio. Finally, we proposed an evaluation method for testing quality classification. It provides a test basis for the subsequent identification of gas and water through the second logging interpretation. It also provides a theoretical basis for the exploration and evaluation of tight oil and gas reservoirs.

Keywords: tight oil and gas reservoirs; gas–water identification; test quality classification; gas test; well-logging (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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