Abstract
Abstract Several oil and gas industry applications of artificial intelligence have been presented in the last decade. Machine learning techniques take center stage in most presentations. Prior to performing the actual modeling in data analytic project, the first three steps in the data analytic lifecycle involve planning, data preparation and model planning. Data visualization is an important aspect in the model planning phase as it aids in selecting variables that are important for modeling and in deciding the appropriate choice of ST model to use. Hence, it is important to invest time and resource to carry out this aspect of the project in order to delineate patterns in the dataset. Researches conducted in this area in the oil and gas industry have not maximized the power of visualizations, particularly when it comes to spatio-temporal data analysis. In this paper, we present applications of spatio-temporal exploratory data analysis for oil and gas datasets using ST-plots, applied o
Original language | English |
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DOIs | |
State | Published - Nov 6 2020 |
Event | SPE Western Regional Meeting 2020, WRM 2020 - Bakersfield, United States Duration: Apr 20 2020 → Apr 22 2020 |
Conference
Conference | SPE Western Regional Meeting 2020, WRM 2020 |
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Country/Territory | United States |
City | Bakersfield |
Period | 04/20/20 → 04/22/20 |
Keywords
- Animations
- Data visualization
- Hovmöller diagram
- Interactive plots
- Spatio-temporal models
- Unconventional reservoirs