Dimensionless Section-Level Cumulative Oil Vs. Pumped Fluid Normalization Plot in Unconventional Development
- Nicolas M. Rosenhagen (Colorado School of Mines) | Steven D. Nash (Anadarko Petroleum Corporation) | Walter C. Dobbs (Anadarko Petroleum Corporation) | Kevin V. Tanner (Anadarko Petroleum Corporation)
- Document ID
- Society of Petroleum Engineers
- SPE Oklahoma City Oil and Gas Symposium, 9-10 April, Oklahoma City, Oklahoma, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. Society of Petroleum Engineers
- 7.1.9 Project Economic Analysis, 2 Well completion, 2.7.1 Completion Fluids, 2.5.2 Fracturing Materials (Fluids, Proppant), 3 Production and Well Operations, 7 Management and Information, 2.4 Hydraulic Fracturing, 2.1 Completion Selection and Design, 1.6 Drilling Operations, 2.7 Completion Fluids, 7.1.10 Field Economic Analysis, 7.1 Asset and Portfolio Management, 1.6.6 Directional Drilling, 2.1 Completion Selection and Design
- Normalization, Section Level, Unconventional, N-Plot, Dimensionless
- 3 in the last 30 days
- 236 since 2007
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The volume of stimulation fluid injected during hydraulic fracturing is a key performance driver in the horizontal development of the Niobrara formation in the Denver-Julesburg (DJ) Basin, Colorado. Oil production per well generally increases with stimulation fluid volume. Often, operators normalize both production and fluid volume based on stimulated lateral length and investigate relationships using "per-ft" variables. However, data from well-based approaches commonly display such wide distributions that no useful relationships can be inferred. To improve data correlations, multivariate analysis normalizes for parameters such as thermal maturity, depth, depletion, proppant intensity, drawdown, geology and completion design. Although advancements in computing power have decreased cycle times for multivariate analysis, preparing a clean dataset for thousands of wells remains challenging. A proposed analytical method using publicly available data allows interpreters to see through the noise and find informative correlations.
Using a data set of over 5000 wells, we aggregate cumulative oil production and stimulation fluid volumes to a per-section basis then normalize by hydrocarbon pore volume (HCPV) per section. Dimensionless section-level Cumulative Oil versus Stimulation Fluid Plots ("Normalization" or "N-Plot") present data distributions sufficiently well-defined to provide an interpretation and design basis of well spacing and stimulation fluid volumes for multi-well development. When coupled with geologic characterization, the trends guide further refinement of development optimization and well performance predictions.
Two example applications using the N-Plot are introduced. The first involves construction of predictive production models and associated evaluation of alternative development scenarios with different combinations of well spacing and completion fluid intensity. The second involves "just-in-time" modification of fluid intensity for drilled but uncompleted wells (DUC's) to optimize cost-forward project economics in an evolving commodity price environment.
|File Size||1 MB||Number of Pages||17|
Chapin, S. E. (2012, February). Origin of the Colorado Mineral Belt. Geosphere, v. 8, no. 1, pp. 28–43; doi: 10.1130/GES00694.1.
Defeu, C., Garcia Ferrer, G., Ejofodomi, E., Shan, D., & Alimahomed, F. (2018, August 28). Time Dependent Depletion of Parent Well and Impact on Well Spacing in the Wolfcamp Delaware Basin. Society of Petroleum Engineers. doi:10.2118/191799-MS
Fisher, M. K., Wright, C. A., Davidson, B. M., Steinsberger, N. P., Buckler, W. S., Goodwin, A., & Fielder, E. O. (2005, May 1). Integrating Fracture Mapping Technologies to Improve Stimulations in the Barnett Shale. Society of Petroleum Engineers. doi:10.2118/77441-PA
Min, K. S., Sen, V., Ji, L., & Sullivan, R. B. (2018, August 9). Optimization of Completion and Well Spacing for Development of Multi-Stacked Reservoirs Using Integration of Data Analytics, Geomechanics and Reservoir Flow Modeling. Unconventional Resources Technology Conference. doi:10.15530/URTEC-2018-2897656
Repchuk, K., Reimchen, A., & Gregoris, D. (2018, August 9). Using Data Analytics to Maximize Value in the Denver-Julesburg Basin. Unconventional Resources Technology Conference. doi:10.15530/URTEC-2018-2902938
Sen, V., Min, K. S., Ji, L., & Sullivan, R. (2018, September 17). Completions and Well Spacing Optimization by Dynamic SRV Modeling for Multi-Stage Hydraulic Fracturing. Society of Petroleum Engineers. doi:10.2118/191571-MS
Sonnenberg, S. A. (2016, August 1). Stratigraphic Architecture of the Niobrara Formation, Wattenberg Field Area, Colorado. Unconventional Resources Technology Conference. doi:10.15530/URTEC-2016-2435024