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Journal of Australian Energy Producers
RESEARCH ARTICLE

Uncertainty analysis on environmental impacts of hydraulic fracturing

Abbas Movassagh A * , Elaheh Arjomand A , Dane Kasperczyk A , James Kear A and Tess Dance A
+ Author Affiliations
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A CSIRO Energy, Melbourne, Vic. 3168, Australia.

* Correspondence to: abbas.movassagh@csiro.au

The APPEA Journal 62(1) 310-318 https://doi.org/10.1071/AJ21071
Submitted: 21 December 2021  Accepted: 16 February 2022   Published: 13 May 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of APPEA.

Abstract

Uncertainty is an undeniable aspect of underground operations, such as wellbore stimulation treatments, where combined rock and fluid interaction add a layer of complexity to the uncertainty. There are social and environmental concerns about the probable outcome of operations like hydraulic fracturing. Hydraulic fracturing treatments may affect the integrity of sub-surface geological strata or might initiate unexpected potential risks to the environment when the created fracture extends beyond its engineered design. Therefore, it is necessary to investigate a range of possible scenarios by which the fracture may experience a deviation from its planned behaviour. In this study, we model the uncertainty associated with hydraulic fracturing using fracture growth simulation. The uncertainty of a range of treatment parameters, such as pumping flow rate, injection duration and mechanical properties of the underground geological layer, is investigated. Monte Carlo simulation is used to examine different probable fracturing scenarios and numerous fracturing simulations with numerical and analytical models. The probability analysis is performed in a case study to identify the cumulative distribution functions (CDFs) of fracture growth. The emerging least, median and most likely situations of fracture growth are analysed to evaluate the fracturing uncertainty. Our results indicate that the numerical modelling approach may predict a more extensive fracture growth in the vertical plane. The numerical model may suggest a more conservative way to address environmental concerns. The resulting cumulative distribution of probabilities suggests the CDFs of the analytical model as the lower band for fracture length, whereas the numerical CDFs presents the upper band.

Keywords: environment, fracture propagation, hydraulic fracturing, Monte Carlo simulation, numerical modelling, P3D model, probability distribution, uncertainty analysis.

Abbas Movassagh is a Research Scientist with the CSIRO Energy Business Unit. His research focuses on environmental and uncertainty analysis, including hydraulic fracturing experiments and modelling. Abbas acquired his PhD from The University of Adelaide and has more than 12 years’ experience in reservoir engineering and geomechanics.

Elaheh Arjomand started her Post-doc Fellowship with CSIRO in mid-2019, and her research is mainly focused on the integrity of wells after decommissioning and abandonment. Elaheh completed her PhD on the integrity of the cement sheath after being subjected to pressure and temperature variations with the University of Adelaide in 2018.

Dane Kasperczyk is a Senior Engineer with the CSIRO Energy Business Unit. He has 9 years’ experience in field-scale hydraulic fracturing for mining and conducting hydraulic fracture laboratory experiments focused on fractures crossing natural boundaries. He holds civil engineering and science degrees from University of Melbourne.

James Kear is a Civil and Environmental Engineer and is the leader of the Hydraulic Fracturing Research Team at CSIRO. He has research experience in the fields of hydraulic fracturing, rock mechanics, sustainable design and systems thinking. James’ Hydraulic Fracturing Research Team undertakes development of hydraulic fracture models, experimental investigation of hydraulic fracture growth, novel hydraulic fracture field applications and tiltmetre monitoring and analysis of hydraulic fracture growth.

Tess Dance has a PhD from the University of Adelaide and has worked for more than 15 years in the field of Carbon Capture and Storage characterising sites for the geological storage of carbon dioxide (CO2), first with Geoscience Australia’s Petroleum and Marine division in Canberra and now with CSIRO Energy in Perth. Her expertise is in sedimentology and sequence stratigraphy and 3D geological modelling for CO2 uncertainty risking. She is the Chief Geologist for the CO2CRC Otway Project, Australia’s first demonstration pilot site focused on understanding the geological characteristics that influence residual trapping and dissolution storage mechanisms in a saline aquifer.


References

Bárdossy, G, and Fodor, J (2001). Traditional and new ways to handle uncertainty in geology. Natural Resources Research 10, 179–187.
Traditional and new ways to handle uncertainty in geology.Crossref | GoogleScholarGoogle Scholar |

Brownlow, JW, James, SC, and Yelderman, JC (2018). Uncertainty analysis: influence of hydraulic fracturing on overlying aquifers in the presence of leaky abandoned wells. Environmental Earth Sciences 77, 477.
Uncertainty analysis: influence of hydraulic fracturing on overlying aquifers in the presence of leaky abandoned wells.Crossref | GoogleScholarGoogle Scholar |

Eaton, BA (1969). Fracture gradient prediction and its application in oilfield operations. Journal of Petroleum Technology 24, 1353–1360.
Fracture gradient prediction and its application in oilfield operations.Crossref | GoogleScholarGoogle Scholar |

Economides M, Oligney R, Valkó P (2002) ‘Unified fracture design: bridging the gap between theory and practice.’ (Orsa Press: Alvin, Texas)

Ferson, S, and Troy Tucker, W (2006). Sensitivity analysis using probability bounding. Reliability Engineering & System Safety 91, 1435–1442.
Sensitivity analysis using probability bounding.Crossref | GoogleScholarGoogle Scholar |

Gercek, H (2007). Poisson’s ratio values for rocks. International Journal of Rock Mechanics and Mining Sciences 44, 1–13.
Poisson’s ratio values for rocks.Crossref | GoogleScholarGoogle Scholar |

Jeffrey R, Zhang X, Chen Z, Wu B, Kear J, Kasperczyk D (2016) ‘Hydraulic fracture growth in Australian coal basins. Report prepared by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) as part of the National Assessment of Chemicals Associated with Coal Seam Gas Extraction in Australia.’ (CSIRO: Canberra)

Karanki, DR, Kushwaha, HS, Verma, AK, and Ajit, S (2009). Uncertainty analysis based on probability bounds (P-Box) approach in probabilistic safety assessment. Risk Analysis: An International Journal 29, 662–75.
Uncertainty analysis based on probability bounds (P-Box) approach in probabilistic safety assessment.Crossref | GoogleScholarGoogle Scholar |

Kear J, Arjomand E, Movassagh A, Peeters L, Kasperczyk D (2021) Spatial Analysis Approach to Hydraulic Fracturing Risk Assessment. Paper presented at the 55th US Rock Mechanics/Geomechanics Symposium, Virtual, June 2021. Paper no. ARMA-2021-2108.

Lashkaripour, GR, and Passaris, EKS (1995). Correlations between index parameters and mechanical properties of shales. 8th ISRM Congress , 257–261.

Mallants D, Bekele E, Schmid W, Miotlinski K, Bristow K (2017) Literature Review: Identification of Potential Pathways to Shallow Groundwater of Fluids Associated with Hydraulic Fracturing, Project Report Prepared by the Commonwealth Scientific and Industrial Research Organisation.

Mallants, D, Jeffrey, R, Zhang, X, Wu, B, Kear, J, Chen, Z, et al. (2018). Review of plausible chemical migration pathways in Australian coal seam gas basins. International Journal of Coal Geology 195, 280–303.
Review of plausible chemical migration pathways in Australian coal seam gas basins.Crossref | GoogleScholarGoogle Scholar |

Murtha, JA (2010). Monte Carlo simulation: Its status and future. SPE Economics & Management 2, 100–107.

Nordgren, RP (1972). Propagation of a vertical hydraulic fracture. Society of Petroleum Engineers Journal 12, 306–314.
Propagation of a vertical hydraulic fracture.Crossref | GoogleScholarGoogle Scholar |

Pakyuz-Charrier, E, Lindsay, M, Ogarko, V, Giraud, J, and Jessell, M (2018). Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization. Solid Earth 9, 385–402.
Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization.Crossref | GoogleScholarGoogle Scholar |

Pandurangan R, Kasperczyk D, Kear J, Chen Z (2018) Water contamination risk assessment on hydraulic fracturing in unconventional gas extraction. CSIRO, Australia. Available at https://gisera.csiro.au/wp-content/uploads/2017/02/Water-10-Final-Report.pdf

Peirce, A, and Detournay, E (2008). An implicit level set method for modeling hydraulically driven fractures. Computer Methods in Applied Mechanics and Engineering 197, 2858–2885.
An implicit level set method for modeling hydraulically driven fractures.Crossref | GoogleScholarGoogle Scholar |

Quosay, AA, Knez, D, and Ziaja, J (2020). Hydraulic fracturing: New uncertainty based modeling approach for process design using Monte Carlo simulation technique. PLoS One 15, e0236726.
Hydraulic fracturing: New uncertainty based modeling approach for process design using Monte Carlo simulation technique.Crossref | GoogleScholarGoogle Scholar | 32726370PubMed |

Wang C (2021) Monte Carlo simulation. In ‘Structural Reliability and Time-Dependent Reliability, Springer Series in Reliability Engineering’. pp. 105–163. (Springer) 10.1007/978-3-030-62505-4_3

Zhang, X, Wu, B, Jeffrey, RG, Connell, LD, and Zhang, G (2017). A pseudo-3D model for hydraulic fracture growth in a layered rock. International Journal of Solids and Structures 115–116, 208–223.
A pseudo-3D model for hydraulic fracture growth in a layered rock.Crossref | GoogleScholarGoogle Scholar |

Zia, H, and Lecampion, B (2020). PyFrac: A planar 3D hydraulic fracture simulator. Computer Physics Communications 255, 107368.
PyFrac: A planar 3D hydraulic fracture simulator.Crossref | GoogleScholarGoogle Scholar |

Zolfaghari, N, and Bunger, AP (2019). Numerical model for a penny-shaped hydraulic fracture driven by laminar/turbulent fluid in an impermeable rock. International Journal of Solids and Structures 158, 128–140.
Numerical model for a penny-shaped hydraulic fracture driven by laminar/turbulent fluid in an impermeable rock.Crossref | GoogleScholarGoogle Scholar |