Special Issues

Environmental surveillance and management in oil and gas exploration and production

  • LIN Jiaen ,
  • SU Zezhong ,
  • XUE Shuaishuai ,
  • LIU Rui
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  • MOE Engineering Research Center of Development & Management of Western Low & Ultra-Low Permeability Oilfield, Xi'an Shiyou University, Xi'an 710065, China

Received date: 2016-08-15

  Revised date: 2016-09-05

  Online published: 2016-10-15

Abstract

Nowadays, the regulation and protection of natural environment, such as groundwater, soil and air etc. becomes increasingly important with greater exploitation of oil and natural gas. This paper introduces the main monitoring methods including cross flow monitoring behind casing, pipeline leakage monitoring and air pollution monitoring in China and abroad, presenting the integrated management programs of environment monitoring, which provides a new method for environment monitoring technology in oil and gas exploration and production. The cross flow monitoring methods behind casing consist of well logging method, well test method and mechanical method. The pipeline leakage monitoring methods include differential input leak test, negative pressure wave method and realtime monitoring system. Air pollution monitoring methods include biological monitoring, spectrum analysis and comprehensive monitoring system. It also outlines new technologies of the three monitoring, including:1) nuclear monitoring and real-time monitoring in cross flow monitoring behind casing; 2) the model methods, MFL and Corrosion Theory in pipeline leakage monitoring; 3) and the comprehensive monitoring system in air pollution monitoring. Meanwhile, it was investigated that real-time down-hole monitoring, real-time pipeline leak monitoring system and intelligent integrated gas monitoring system will become the main development trend and focus in the future of oil and gas field.

Cite this article

LIN Jiaen , SU Zezhong , XUE Shuaishuai , LIU Rui . Environmental surveillance and management in oil and gas exploration and production[J]. Science & Technology Review, 2016 , 34(17) : 48 -55 . DOI: 10.3981/j.issn.1000-7857.2016.17.007

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