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Abstract
The level to which data are aggregated can impact analytical and predictive modeling results. In this short paper we discuss some of our findings regarding the impacts of data aggregation on estimating change points in the production profiles of horizontal hydraulically fractured Bakken oil wells. Change points occur when production transitions from one flow regime to another. Change point determination is important because it governs calculation of ultimate recovery from these and similar wells drilled in shale plays.
Study Area
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Implications of aggregating daily production data on estimates of ultimate recovery from horizontal hydraulically fractured Bakken oil wells |
| Year Published | 2019 |
| Language | English |
| Contributing office(s) | Eastern Energy Resources Science Center |
| Description | 5 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | 20th Annual conference of the International Association for Mathematical Geosciences (IAMG2019) |
| First page | 232 |
| Last page | 236 |
| Conference Title | 20th Annual Conference of the International Association for Mathematical Geosciences (IAMG2019) |
| Conference Location | State College, PA |
| Conference Date | Aug 10-15, 2019 |
| Country | United States |
| State | Montana, North Dakota |
| Other Geospatial | Bakken Formation |
| Google Analytic Metrics | Metrics page |