Spatio-Temporal Estimates of Long-Term Oil Drilling Locations
Estimating drilling locations plays an important role in forecasting truck trips derived by hydraulic fracturing oil development for long-range transportation planning. Predicting drilling locations among more than 7,000 oil drilling lands shows a random pattern with uncertainty. Twenty-year multi-period forecasting architecture is proposed in this study using maximum likelihood estimation to fit in the logistic regression. Probability of drilling on each leased space for drilling was predicted in order to forecast truck movements with respect to frequency and paths for a 20-year period. The maximum likelihood estimates of the parameters of a logistic model provide future locations for drilling considering well aging, the number of wells on a leased land space, closeness to the current wells, and oil density in an oil development zone. While, in the short term, the drilling locations were concentrated in the middle of the space, the probability of the drilling was marginally distributed throughout the region in the long run.
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Corporate Authors:
Upper Great Plains Transportation Institute
North Dakota State University
1320 Albrecht Boulevard
Fargo, ND United States 581052 Bismarck, ND United States 58505 -
Authors:
- Lee, EunSu
- Dharmadhikari, Nimish
- Dybing, Alan
- Publication Date: 2014-10
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 23p
Subject/Index Terms
- TRT Terms: Estimating; Forecasting; Logistic regression analysis; Oil well drilling; Spatial analysis; Transportation planning; Trucking
- Subject Areas: Highways; Motor Carriers; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01544662
- Record Type: Publication
- Report/Paper Numbers: UGPTI Department Publication No. 275
- Files: TRIS, ATRI, STATEDOT
- Created Date: Nov 24 2014 3:28PM