Register      Login
The APPEA Journal The APPEA Journal Society
Journal of Australian Energy Producers
RESEARCH ARTICLE

Impact of the stress state and the natural network of fractures/faults on the efficiency of hydraulic fracturing operations in the Goldwyer Shale Formation

Partha Pratim Mandal A C , Reza Rezaee A and Joel Sarout B
+ Author Affiliations
- Author Affiliations

A WA School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Kensington, WA 6151, Australia.

B CSIRO Energy, Rock Properties Team and Geomechanics and Geophysics Laboratory, Kensington, WA 6151, Australia.

C Corresponding author. Email: p.mandal@postgrad.curtin.edu.au

The APPEA Journal 60(1) 163-183 https://doi.org/10.1071/AJ19025
Submitted: 9 December 2019  Accepted: 29 January 2020   Published: 15 May 2020

Abstract

Cost-effective hydrocarbon production from low-permeability unconventional reservoirs requires multi-stage hydraulic fracturing (HF) operations. Each HF stage aims to generate the most spatially extended fracture network, giving access to the largest volume of reservoir possible (stimulated volume) and allowing hydrocarbons to flow towards the wellbore. The size of the stimulated volume, and therefore, the efficiency of any given HF stage, is governed by the rock’s deformational behaviour and presence of pre-existing natural fractures/faults. Naturally elevated pore pressures at depth not only help to reduce the injection energy required to generate hydraulic fractures but can also induce slip along pre-existing fractures/faults, and therefore, enhance production rates. Here we analyse borehole image, density, resistivity and sonic logs available from a vertical exploration well in the Goldwyer Shale Formation (Canning Basin) to (i) characterise the pre-existing network of natural fractures; and (ii) estimate the in-situ pore pressure and stress state at depth. The aim of such an analysis is to evaluate the possibility of fracture/fault reactivation (slip) during and following HF operations. Based on this analysis, we found that an increase in the formation's pore pressure by only a few MPa (typically ~5–10 MPa) could lead to slip along pre-existing fractures/faults, provided they are favourably oriented with respect to the prevalent stress field for future production. We also found that slip along the horizontal or sub-horizontal bedding of the Goldwyer Formation is unlikely in view of the prevalent strike-slip faulting regime, unless an extremely large overpressure exists within the reservoir.

Keywords: deformation, fault slip, Goldwyer Formation, induced seismicity, natural fractures/faults, stress regime, pore pressure, unconventional shale exploration.

Partha Pratim Mandal is a PhD student at WA School of Mines: Minerals, Energy and Chemical Engineering, Curtin University. His research focuses on creating geomechanical workflows for laboratory measurements of the mechanical aspect of shale gas, including the incorporation of multi-channel active and passive wave velocity recording and fundamental rock physics principals, which will lead to an improved understanding of: (i) the relationship between static and dynamic elastic properties of shale; (ii) brittle zone identification; (iii) fracture growth patterns; (iv) HF operation in the field; and (v) micro-seismic monitoring. He is the recipient of the Higher Degree Research Training Program Scholarship and PESA Federal Post-graduate scholarship. He is the founding member and the president of EAGE-SEG student chapter at Curtin University. Previously he worked for six years as an Imaging Geophysicist at Petroleum Geo-Services both in India and Australia. He received his first-class BSc degree in Physics (Hons) from the Presidency College, University of Calcutta, India and his MSc Tech degree in Applied Geophysics from the IIT (ISM), Dhanbad, India. His technical and management expertise are in geomechanics, seismic imaging, rock-physics, machine learning and leading non-profit organizations. He is very passionate about teaching science subjects, like mathematics and physics, to high school students.

Professor Reza Rezaee of Curtin University’s Department of Petroleum Engineering has a PhD in Reservoir Characterisation. He has over 27 years’ experience in academia, being responsible for both teaching and research. During his career, he engaged in several research projects supported by major oil and gas companies, and these commissions, together with his supervisory work at various universities, have involved a wide range of achievements. He has received more than $2.2M funds through his collaborative research projects. He has supervised over 70 MSc and PhD students during his university career to date. He has published more than 160 peer-reviewed journal and conference papers and is the author of four books on petroleum geology, logging and log interpretation and gas shale reservoirs. His research has been mostly on integrated solutions for reservoir characterisation, formation evaluation and petrophysics. Currently, he is focused on unconventional gas studies, including gas shale and tight gas sand. As a founder of the ‘Unconventional Gas Research Group’ of Australia, he has established a unique and highly sophisticated research laboratory in the Department of Petroleum Engineering, Curtin University. This laboratory was established to conduct research on petrophysical evaluation of tight gas sands and shale gas formations. He is the winner of the Australian Gas Innovation Award for his innovation on tight gas sand treatment for gas production enhancement.

Joel Sarout is a Principal Research Scientist at CSIRO in Perth (Australia), where he leads the Rock Properties Research Team. Since 2006, he was involved and led multiple government- and industry-funded research projects to better understand and predict the effects of anthropogenic subsurface activities in the energy/resources sector, e.g. oil and gas exploration and production, CO2 geo-sequestration. Through a science-based approach, these projects have contributed to: (i) a more accurate interpretation of 3D/4D seismic and micro-seismicity data; (ii) improved reservoir depletion and borehole stability monitoring/predictions; (iii) optimized exploration for oil, gas and geothermal resources; and (iv) enhanced energy resources recovery. Joel holds a MSc in Civil Engineering from the University of Minnesota (2003), and a PhD in Earth Science (Rock Physics) from the Ecole Normale Supérieure / University Paris Orsay (2006). His technical expertise lies in rock physics, geomechanics and geophysics. He co-authored 53 refereed journal articles, and his work has attracted 1590 citations since 2006 (source: Google Scholar). Joel is currently acting as an Associate Editor for the AGU's Journal of Geophysical Research-Solid Earth and for the EAGE's Geophysical Prospecting journal.


References

Bailey, A., and Henson, P. (2018). Mapping Northern Australia’s Present Day Stress Field: The Canning Basin. ASEG Extended Abstracts 2018, 1–6.
Mapping Northern Australia’s Present Day Stress Field: The Canning Basin.Crossref | GoogleScholarGoogle Scholar |

Bailey, A. H. E., and Henson, P. (2019). Variation of Vertical Stress in the Onshore Canning Basin, Western Australia. The APPEA Journal 59, 364–382.
Variation of Vertical Stress in the Onshore Canning Basin, Western Australia.Crossref | GoogleScholarGoogle Scholar |

Davies, R. J., Mathias, S. A., Moss, J., Hustoft, S., and Newport, L. (2012). Hydraulic Fractures: How Far Can They Go? Marine and Petroleum Geology 37, 1–6.
Hydraulic Fractures: How Far Can They Go?Crossref | GoogleScholarGoogle Scholar |

Dewhurst, D. N., Sarout, J., Delle Piane, C., Siggins, A. F., and Raven, M. D. (2015). Empirical Strength Prediction for Preserved Shales. Marine and Petroleum Geology 67, 512–525.
Empirical Strength Prediction for Preserved Shales.Crossref | GoogleScholarGoogle Scholar |

DMIRS (2019). Petroleum and Geothermal Information (WAPIMS). Available at https://www.dmp.wa.gov.au/Petroleum-and-Geothermal-1497.aspx

Eaton, B. A. (1969). Fracture Gradient Prediction and Its Application in Oilfield Operations. Journal of Petroleum Technology 21, 1353–1360.
Fracture Gradient Prediction and Its Application in Oilfield Operations.Crossref | GoogleScholarGoogle Scholar |

EIA (2013). Aeo2013 Early Release Overview. U.S. Energy Information Administration, Washington, D.C.

Gale, J., Reed, R., and Holder, J. (2007). Natural Fractures in the Barnett Shale and Their Importance for Hydraulic Fracture Treatments. AAPG Bulletin 91, 603–622.
Natural Fractures in the Barnett Shale and Their Importance for Hydraulic Fracture Treatments.Crossref | GoogleScholarGoogle Scholar |

Gardner, G. H. F., Gardner, L. W., and Gregory, A. R. (1974). Formation Velocity and Density—the Diagnostic Basics for Stratigraphic Traps. Geophysics 39, 770–780.
Formation Velocity and Density—the Diagnostic Basics for Stratigraphic Traps.Crossref | GoogleScholarGoogle Scholar |

Gholami, R., Rasouli, V., Aadnoy, B., and Mohammadi, R. (2015). Application of in Situ Stress Estimation Methods in Wellbore Stability Analysis under Isotropic and Anisotropic Conditions. Journal of Geophysics and Engineering 12, 657–673.
Application of in Situ Stress Estimation Methods in Wellbore Stability Analysis under Isotropic and Anisotropic Conditions.Crossref | GoogleScholarGoogle Scholar |

Ghori, K., and Haines, P. (2006). ‘Petroleum Geochemistry of the Canning Basin Western Australia: Basic Analytical Data 2004–05.’ (Geological Survey of Western Australia: Perth, W.A.)

Gong, C., and Rodriguez, L. (2017) Challenges in Pore Pressure Prediction for Unconventional Petroleum Systems. In ‘AAPG Hedberg Conference, The Future of Basin and Petroleum Systems Modelling, Santa Barbara, California, 3–8 April 2016.’ Available at http://www.searchanddiscovery.com/documents/2017/42018gong/ndx_gong.pdf [verified 2 March 2020]

Hatton, T., Commander, P., McKenzie, F., Wright, J., and Clennell, B. (2018). Independent Scientific Panel Inquiry into Hydraulic Fracture Stimulation in Western Australia. Available at https://frackinginquiry.wa.gov.au/ [verified 4 February 2020]

Heidbach, O., Rajabi, M., Reiter, K., and Ziegler, M. (2016). World Stress Map 2016. GFZ Data Services. Available at 10.5880/WSM.2016.002

Hennings, P., Lund Snee, J.-E., Osmond, J., Deshon, H., Dommisse, R., Horne, E., Lemons, C., and Zoback, M. (2019). Injection‐Induced Seismicity and Fault‐Slip Potential in the Fort Worth Basin, Texas. Bulletin of the Seismological Society of America 109, 1615–1634.
Injection‐Induced Seismicity and Fault‐Slip Potential in the Fort Worth Basin, Texas.Crossref | GoogleScholarGoogle Scholar |

Hornbach, M. J., DeShon, H. R., Ellsworth, W. L., Stump, B. W., Hayward, C., Frohlich, C., Oldham, H. R., Olson, J. E., Magnani, M. B., Brokaw, C., and Luetgert, J. H. (2015). Causal Factors for Seismicity near Azle, Texas. Nature Communications 6, 6728.
Causal Factors for Seismicity near Azle, Texas.Crossref | GoogleScholarGoogle Scholar | 25898170PubMed |

Hsieh, P. A., and Bredehoeft, J. D. (1981). A Reservoir Analysis of the Denver Earthquakes: A Case of Induced Seismicity. Journal of Geophysical Research. Solid Earth 86, 903–920.
A Reservoir Analysis of the Denver Earthquakes: A Case of Induced Seismicity.Crossref | GoogleScholarGoogle Scholar |

International Energy Agency (2017). Data and statistics. Available at https://www.iea.org/data-and-statistics?country=AUSTRALI&fuel=CO2%20emissions&indicator=CO2%20emissions%20by%20energy%20source

Johnson, L. M., Rezaee, R., Kadkhodaie, A., Smith, G., and Yu, H. (2018). Geochemical Property Modelling of a Potential Shale Reservoir in the Canning Basin (Western Australia), Using Artificial Neural Networks and Geostatistical Tools. Computers & Geosciences 120, 73–81.
Geochemical Property Modelling of a Potential Shale Reservoir in the Canning Basin (Western Australia), Using Artificial Neural Networks and Geostatistical Tools.Crossref | GoogleScholarGoogle Scholar |

Lacazette, A., and Geiser, P. (2013). Comment on Davies Et al. 2012 – Hydraulic Fractures: How Far Can They Go? Marine and Petroleum Geology 43, 516–518.
Comment on Davies Et al. 2012 – Hydraulic Fractures: How Far Can They Go?Crossref | GoogleScholarGoogle Scholar |

Lund Snee, J.-E., and Zoback, M. D. (2016). State of Stress in Texas: Implications for Induced Seismicity. Geophysical Research Letters 43, 10,208–10,214.
State of Stress in Texas: Implications for Induced Seismicity.Crossref | GoogleScholarGoogle Scholar |

Mandal, P. P., Rezaee, R., and Emelyanova, I. (2020a). Ensemble Learning for Predicting Toc from Well-Logs of the Unconventional Goldwyer Shale. Journal of Petroleum Science Engineering. , .

Mandal, P. P., Sarout, J., and Rezaee, R. (2020b). Geomechanical Appraisal and Prospectivity Analysis of the Goldwyer Shale Accounting for Stress and Formation Anisotropy: A Case Study. International Journal of Rock Mechanics and Mining Sciences. , .

Rezaee, R. (Ed.) (2015). 'Fundamentals of Gas Shale Reservoirs. (John Wiley and Sons Inc: Hoboken, New Jersey.)

Rybacki, E., Reinicke, A., Meier, T., Makasi, M., and Dresen, G. (2015). What Controls the Mechanical Properties of Shale Rocks? – Part I: Strength and Young’s Modulus. Journal of Petroleum Science Engineering 135, 702–722.
What Controls the Mechanical Properties of Shale Rocks? – Part I: Strength and Young’s Modulus.Crossref | GoogleScholarGoogle Scholar |

Rybacki, E., Meier, T., and Dresen, G. (2016). What Controls the Mechanical Properties of Shale Rocks? – Part Ii: Brittleness. Journal of Petroleum Science Engineering 144, 39–58.
What Controls the Mechanical Properties of Shale Rocks? – Part Ii: Brittleness.Crossref | GoogleScholarGoogle Scholar |

Sarout, J., and Guéguen, Y. (2008). Anisotropy of Elastic Wave Velocities in Deformed Shales: Part 2 — Modeling Results. Geophysics 73, D91–D103.
Anisotropy of Elastic Wave Velocities in Deformed Shales: Part 2 — Modeling Results.Crossref | GoogleScholarGoogle Scholar |

Sarout, J., Esteban, L., Delle Piane, C., Maney, B., and Dewhurst, D. N. (2014). Elastic Anisotropy of Opalinus Clay under Variable Saturation and Triaxial Stress. Geophysical Journal International 198, 1662–1682.
Elastic Anisotropy of Opalinus Clay under Variable Saturation and Triaxial Stress.Crossref | GoogleScholarGoogle Scholar |

Singh, A., Xu, S., Zoback, M., and McClure, M. (2019). Integrated Analysis of the Coupling between Geomechanics and Operational Parameters to Optimize Hydraulic Fracture Propagation and Proppant Distribution. In ‘SPE Hydraulic Fracturing Technology Conference and Exhibition, 5–7 February, The Woodlands, Texas, USA.’. (Society of Petroleum Engineers). 10.2118/194323-MS

Sondergeld, C. H., and Rai, C. S. (2011). Elastic Anisotropy of Shales. The Leading Edge 30, 324–331.
Elastic Anisotropy of Shales.Crossref | GoogleScholarGoogle Scholar |

Sone, H. (2012). Mechanical Properties of Shale Gas Reservoir Rocks and Its Relation to the in-Situ Stress Variation Observed in Shale Gas Reservoirs. PhD Thesis, Stanford University, Stanford, CA.

Testamanti, M. N. (2019). Assessment of Fluid Transport Mechanisms in Shale Gas Reservoirs. PhD Thesis, Curtin University, Perth, W.A.

van Hattum, J., Bond, A., Jablonski, D., and Taylor-Walshe, R. (2019). Exploration of an Unconventional Petroleum Resource through Extensive Core Analysis and Basin Geology Interpretation Utilising Play Element Methodology: The Lower Goldwyer Formation, Onshore Canning Basin, Western Australia. The APPEA Journal 59, 464–481.
Exploration of an Unconventional Petroleum Resource through Extensive Core Analysis and Basin Geology Interpretation Utilising Play Element Methodology: The Lower Goldwyer Formation, Onshore Canning Basin, Western Australia.Crossref | GoogleScholarGoogle Scholar |

Walsh, F. R. Walsh, F. R. (2016). Probabilistic Assessment of Potential Fault Slip Related to Injection-Induced Earthquakes: Application to North-Central Oklahoma, USA. Geology 44, 991–994.
Probabilistic Assessment of Potential Fault Slip Related to Injection-Induced Earthquakes: Application to North-Central Oklahoma, USA.Crossref | GoogleScholarGoogle Scholar |

Walsh, F. R., III, Zoback, M. D., Lele, S. P., Pais, D., Weingarten, M., and Tyrrell, T. (2017). Fsp 2.0: A Program for Probabilistic Estimation of Fault Slip Potential Resulting from Fluid Injection. Available at https://scits.stanford.edu/fault-slip-potential-fsp

Walters, R. J., Zoback, M. D., Baker, J. W., and Beroza, G. C. (2015). Characterizing and Responding to Seismic Risk Associated with Earthquakes Potentially Triggered by Fluid Disposal and Hydraulic Fracturing. Seismological Research Letters 86, 1110–1118.
Characterizing and Responding to Seismic Risk Associated with Earthquakes Potentially Triggered by Fluid Disposal and Hydraulic Fracturing.Crossref | GoogleScholarGoogle Scholar |

Weatherford (2013). Compact Microimager (CMI). Available at https://www.weatherford.com/en/documents/brochure/products-and-services/formation-evaluation/compact-microimager/

Willis, M. (2014). Upscaling Anisotropic Geomechanical Properties Using Backus Averaging and Petrophysical Clusters in the Vaca Muerta Formation. MSc Thesis, Colorado School of Mines, Golden, CO.

Zhang, J. (2011). Pore Pressure Prediction from Well Logs: Methods, Modifications, and New Approaches. Earth-Science Reviews 108, 50–63.
Pore Pressure Prediction from Well Logs: Methods, Modifications, and New Approaches.Crossref | GoogleScholarGoogle Scholar |

Zoback, M. D. (2010). 'Reservoir Geomechanics' (Cambridge University Press: Cambridge, UK.)

Zoback, M. D., and Kohli, A. J. (2019). 'Unconventional Reservoir Geomechanics: Shale Gas, Tight Oil, and Induced Seismicity' (Cambridge University Press: Cambridge, UK.)

Zoback, M. D., and Lund Snee, J.-E. (2018). Predicted and Observed Shear on Preexisting Faults During Hydraulic Fracture Stimulation. SEG Technical Program Expanded Abstracts 2018, 3588–3592.
Predicted and Observed Shear on Preexisting Faults During Hydraulic Fracture Stimulation.Crossref | GoogleScholarGoogle Scholar |

Zoback, M. D., Kohli, A., Das, I., and McClure, M. W. (2012). The Importance of Slow Slip on Faults During Hydraulic Fracturing Stimulation of Shale Gas Reservoirs. In ‘SPE Americas Unconventional Resources Conference, 5–7 June, Pittsburgh, Pennsylvania USA.’. (Society of Petroleum Engineers). 10.2118/155476-MS