Using Laboratory Results from New Methods of Measuring Proppant Conductivity to Model Hydraulic Fractures in Reservoir Simulation

Authors

  • Kofi Dabo
  • Susan Schrader
  •  Richard Schrader
  • Sterling Richard

DOI:

https://doi.org/10.47672/ejt.1117

Keywords:

Ceramic and Sand Proppants, Hydraulic Fracturing, Hydrocarbons, Permeability, Conductivity, Unconventional Reservoir, Fractures, Variance, Willison Bakken Formation.

Abstract

Purpose: Hydraulic fracturing processes are conducted to create new fractures in a rock to increase the size, extent, and connectivity of existing fractures. The American Petroleum Institute (API) developed two testing procedures for measuring conductivity of proppants in a laboratory setting, namely; the Short-Term Proppant Conductivity Testing Procedure and Long-Term Proppant Conductivity Testing Method.  However, these laboratory testing methods have produced inconsistent results, with a significant coefficient of variance of ±80% from one test to the other even with the use of the same proppants and procedures. Thus, this work seeks to use an improved laboratory variance from Montana Tech conductivity measurements to model hydraulic fractures in reservoir simulation to evaluate how it performs or compares with field performance.

Methodology: Montana Tech researchers have developed new proppant conductivity testing methods to lower this variance. These testing procedures showed more consistent results with an average variance of ±7.6% and ±14.3% in ceramic and sand proppants respectively. These tests were all done at laboratory conditions and therefore this work used field production data obtained from the Willison Bakken Formation and an arbitrary high permeability value as a benchmark against the fracture models built using laboratory results from the new methods of measuring proppant conductivity testing by Montana Technological University.

Findings: The conductivity values corresponding with 6,500 psi closure stress obtained for sand and ceramic were 2,133.5 md-ft and 4,870.3 md-ft respectively. The high permeability model recorded an incremental recovery increase of 42% over the unfractured model. Similarly, the laboratory sand and ceramic models had an incremental recovery increase of 12.9% and 33% respectively over the unfractured model. The dimensionless fracture conductivity for the laboratory sand, laboratory ceramic and high permeability models were 1,246, 2,844 and 233,577 respectively. Generally, laboratory conductivity overestimates field performance, however, this work did not show an improvement in modeling fractures using laboratory data as a result of the extremely low porosity and permeability values of the Bakken wells used for the study and the limitedness of the software package used. Simulation of low permeability reservoirs is still an area in development as traditional models often fail to produce results that match the physics. It is possible that as simulation methods for these types of reservoirs improve, the new laboratory data for fracture conductivity will prove beneficial in modeling.

Unique contribution to theory, practice and policy (recommendation): A sensitivity analysis should be performed in Petrel that starts with the laboratory fracture conductivity and ends with infinite fracture conductivity. This would help determine the effect of correctly measuring fracture conductivity. Again, a better technique in Petrel such as using a tartan grid is encouraged to better assess the performance of each of the fractures and lastly, more well data with associated measured porosity and permeability data is suggested for future works.

 

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Author Biographies

Kofi Dabo

Graduate Student, Petroleum Engineering Department of Montana Technological University, USA

Susan Schrader

Associate Professor, Petroleum Engineering Department of Montana Technological University, USA

 Richard Schrader

Laboratory Director, Petroleum Engineering Department of Montana Technological University, USA

Sterling Richard

Researcher & Alumnus of the Petroleum Department, Montana Technological University, USA

References

Pitman, J. K., Price, L. C., and LeFever, J. A., (2001), Diagenesis and fracture development in the Bakken Formation, Williston Basin: Implications for Reservoir Quality in the Middle Member: U.S. Geological Survey Professional Paper, v. 1653, pp. 1-19.

Amorin, R., Dabo, K. J. and Essoun, E. F. (2022). Development of a Mathematical Model in Python to Design a Drillstring with Options for a Given Well Trajectory. International Journal of Research in Advanced Engineering and Technology, Volume 8, Issue 1, Page No. 17-23

Tran, Tan, Sinurat, Pahala, and R. A Wattenbarger (2011), "Production Characteristics of the Bakken Shale Oil." Paper presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA, October 2011. doi: https://doi.org/10.2118/145684-MS

Zhou, Desheng, Zhang, Gang, Ruan, Min, He, Anwu, and Dengfeng Wei (2011), "Comparison of Fracture Conductivities from Field and Lab." Paper presented at the International Petroleum Technology Conference, Bangkok, Thailand, November 2011. doi: https://doi.org/10.2523/IPTC-14706-MS

API RP61, Recommended Practice for Evaluating Short Term Proppant Pack Conductivity 1989. Washington, DC: API.

API RP19D, Recommended Practice for Measuring the Long-term Conductivity of Proppants, First Edition (ISO 13503-5: 2006, Identical). 2008. Washington, DC: API.

Anderson, R. (2013). Performance of Fracturing Products. Chandler: US SILICA.

International Organization for Standardization, "Procedures for Measuring the Long-Term Conductivity of Proppants," ISO 13503-5, July, 2006.

Barree, R. D., Cox, S. A., Barree, V. L., and Conway, M. W. (2003). Realistic Assessment of Proppant Pack Conductivity for Material Selection. Society of Petroleum Engineers. doi:10.2118/84306-MS

Richard, S. (2020), Improved Methods of Measuring Short-Term Proppant Conductivity. Thesis Work, Montana Tech of the University of Montana, Butte, MT.

Blair, K. (2015), Modifying Fracture Conductivity Testing Procedures. Thesis Work, Montana Tech of the University of Montana, Butte, MT.

Ereaux, B. (2017), Vibration Modification to A.P.I. Fracture Short Term Conductivity Testing Procedure. Thesis, Montana Tech of the University of Montana, Butte, MT.

Lorwongngam, Apiwat Ohm, Cipolla, Craig, Gradl, Christian, Gil Cidoncha, Jose, and Bruce Davis (2019), "Multidisciplinary Data Gathering to Characterize Hydraulic Fracture Performance and Evaluate Well Spacing in the Bakken." Paper presented at the SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, Texas, USA, doi: https://doi.org/10.2118/194321-MS

Cipolla, Craig, Motiee, Monet, and Aicha Kechemir (2018), "Integrating Microseismic, Geomechanics, Hydraulic Fracture Modeling, and Reservoir Simulation to Characterize Parent Well Depletion and Infill Well Performance in the Bakken." Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Houston, Texas, USA, doi: https://doi.org/10.15530/URTEC-2018-2899721

Ramakrishna, S., Balliet, R., Miller, D. (2010), Formation Evaluation in the Bakken Complex Using Laboratory Core Data and Advanced Logging Technologies. Paper SPWLA 2010-74900 presented at the SPWLA 51st Annual Logging Symposium, Perth, Australia, 19-23 June.

Liu, J., Bodvarsson, G. S., and Wu, Y. S. (2003). Analysis of Flow Behavior in Fractured Lithophysal reservoirs. Journal of Contaminant Hydrology, 62, 189-211.

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Published

2022-07-11

How to Cite

Dabo , K. ., Schrader, S., Schrader, Richard., & Richard, S. . (2022). Using Laboratory Results from New Methods of Measuring Proppant Conductivity to Model Hydraulic Fractures in Reservoir Simulation. European Journal of Technology, 6(2), 62–72. https://doi.org/10.47672/ejt.1117

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