Authors: Shuyang Zhang*, Texas A&M University, Zhe Zhang, Texas A&M University
Topics: Geographic Information Science and Systems
Keywords: Decision support system, Oil and gas production, oil and gas reservoirs evaluation, Geospatial neural network.
Session Type: Paper
Start / End Time: 5:35 PM / 6:50 PM
Room: Virtual Track 8
Presentation File: No File Uploaded
Spatial decision is an essential aspect of designing oil and gas exploration and production activities. The spatial distribution characteristics and the evaluation of potential oil and gas resource storage in oil and gas reservoirs are key factors to spatial decision options for oil and gas production. In this paper, we propose a spatial decision support system that integrates a geospatial neural network that will be implemented using various geological and well logging data to support spatial decision making process for oil and gas production. First, we identify all the factors that could be used to evaluate oil and gas reservoirs. In the next step, we observe the spatial distribution of the current logging locations and analyze the geospatial relationships between the potential oil and gas resource storage in oil and gas reservoirs at the current locations and various factors using an innovative geospatial neural network. In the end, the best spatial option for oil and gas production will be identified by comparing the evaluated oil and gas reservoirs.