Application of Remote Sensing Intelligent Monitoring Technology for Oil and Gas Well Exit and Ecological Restoration

Green Sustainable Development of Oil and Gas Fields considers oil and gas exploration as well as environmental conservation. Currently, national ecological protection requires that oil and gas exploration wells be shut down and closed when they withdraw, and that oil and gas facilities be demolished to restore the surrounding geomorphology and ecology. As a result, the condition of ecological restoration of oil and gas sites withdrawal is an essential component to evaluate the ecological protection of oil and gas fields. In this article, multi-temporal high-resolution satellite remote sensing big data is employed to achieve intelligent monitoring and assessment of green recovery at oil and gas sites. The technical process of remote sensing intelligent monitoring of oil and gas well withdrawal and ecological restoration includes three steps: 1. Determine the different types of well sites. Identify well sites where oil and gas facilities depart using high-resolution remote sensing oil and gas well site interpretation markings; 2. Detect well site modification. 3. Evaluate well site recovery by using the GRNDVI vegetation growth index into the well site vegetation change over time. To evaluate well site recovery, set a threshold value based on change detection data. Using Dabusu in Jilin Oilfield and Liaohekou in Liaohe Oilfield as experimental areas, remote sensing monitoring results show that 18 well sites in Dabusu experimental region were withdrawn in 2019 and all achieved vegetation restoration; 15 well sites in Liaohekou experimental region were withdrawn from April to November 2018 to achieve natural restoration; and PetroChina has achieved results in ecological restoration of oil and gas well site withdrawal; remote sensing intelligent monitoring technology of oil and gas well site withdrawal and ecological restoration can realize large-scale and large-quantity well site withdrawal as well as efficient and accurate vegetation restoration monitoring. This technology ought to be used and popularized.