A Cost/Benefit Review of Completion Choices in the Williston Basin Using a Hybrid Physics-Based Modeling/Multi-Variate Analysis Approach
- Michael Mayerhofer (Liberty Oilfield Services) | Oladapo Oduba (Liberty Oilfield Services) | Karn Agarwal (Liberty Oilfield Services) | Howard Melcher (Liberty Oilfield Services) | Ely Lolon (Liberty Oilfield Services) | Jenn Bartell (Liberty Oilfield Services) | Leen Weijers (Liberty Oilfield Services)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 9-11 October, San Antonio, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 2.5.2 Fracturing Materials (Fluids, Proppant), 2.1 Completion Selection and Design, 1.6 Drilling Operations, 5.5.8 History Matching, 5 Reservoir Desciption & Dynamics, 2.1 Completion Selection and Design, 4.1 Processing Systems and Design, 5.5 Reservoir Simulation, 2.4 Hydraulic Fracturing, 2 Well completion, 4 Facilities Design, Construction and Operation, 5.1.5 Geologic Modeling, 1.6.6 Directional Drilling, 4.1.2 Separation and Treating
- Williston Basin, multi-variate analysis, Bakken, frac, Three Forks
- 7 in the last 30 days
- 397 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 8.50|
|SPE Non-Member Price:||USD 25.00|
In the Williston Central Basin the role of a well's completion design has a significant impact on well productivity and ultimate recovery. More than 12,000 horizontals have been drilled and completed while completion practices continue to vary widely across the basin. Several companies have adopted slickwater-only designs while others have dramatically increased proppant mass. Completions strategies have differed depending on the area in the basin. The objective of this paper is to discuss the impact of various completion changes in the Central Basin and determine which particular change delivers the most "bang for the buck" using a $/BO metric.
The approach centered around multi-variate analysis (MVA) from an extensive petrophysical/completion/production database to verify what completion and petrophysical parameters independently drive production in different areas. While MVA has been used by the authors and many others before, statistical models are limited by their ability to provide predictive relationships (mostly simple linear regressions and un-reliable beyond the data range). This paper provides a novel hybrid approach that uses calibrated relationships from physics-based modeling (combination of fracture and numerical reservoir modeling) between completion parameters and production response in combination with statistical MVA results. Specifically, the physics-based model is calibrated or "history matched" to a measured production/completion parameter response as provided by MVA, thus delivering a constrained and more physically realistic production response to suggested completion changes. This model is then coupled with a completion cost model to determine which completion method is the most effective to lower $/BO.
Many common completion parameter changes, such as increasing stage intensity, moving to plug & perf cemented well designs, increasing injection rate, increasing proppant mass per lateral foot and fluid volume per lateral foot, have a positive impact on production and are advantageous to lower $/BO in all areas of the Middle Bakken and Three Forks. The new hybrid MVA approach indicates that pumping slickwater treatments with average proppant concentrations of 1 lb/gal and treatment sizes from 750 to 1,150 lb/ft at pump rates approaching 100 bpm through a stage length of 200 ft (50 stages for a 10,000 ft lateral) may be the economic optimum provided there are no significant well communication issues.
|File Size||2 MB||Number of Pages||21|
LaFollette, R.F., Izadi, G., and Zhong, M. 2013. Application of Multivariate Analysis and Geographic Information Systems Pattern-Recognition Analysis to Production Results in the Bakken Light Tight Oil Play. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, 4-6 February. SPE-163852-MS.
Lolon, E., Hamidieh, K., Weijers, L., Mayerhofer, M., Melcher, H., & Oduba, O. 2016. Evaluating the Relationship Between Well Parameters and Production Using Multivariate Statistical Models: A Middle Bakken and Three Forks Case History. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, 9-11 February. SPE-179171-MS.
North Dakota Industrial Commission website: https://www.dmr.nd.gov/oilgas/
Williams, B., Weaver, B., and Weijers, L. 2015. Completing the Second Target: Finding Optimal Completion Practices for the Three Forks Formation in the Williston Basin Using Multivariate Statistical Analysis. Presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, 3-5 February. SPE-173377-MS.