TY - GEN
T1 - Remarks on dealing with Toughness Heterogeneity in Modelling of Hydraulic Fracture
AU - Da Fies, G.
AU - Dutko, M.
AU - Mishuris, G.
N1 - Funding Information:
The authors would like to acknowledge the funding provided by Welsh Government via Sêr Cymru Future Generations Industrial Fellowship grant AU224. GM is thankful to Royal Society for Wolfson Research Merit Award.
Funding Information:
The authors would like to acknowledge the funding provided by Welsh Government via S?r Cymru Future Generations Industrial Fellowship grant AU224. GM is thankful to Royal Society for Wolfson Research Merit Award.
Publisher Copyright:
© 2021 ARMA, American Rock Mechanics Association
PY - 2021/6/18
Y1 - 2021/6/18
N2 - This paper aims to discuss recent studies on methods used to capture heterogeneity within a reservoir undergoing hydraulic fracturing treatment and their implication on modelling of fracture propagation. In highly laminated reservoirs with soft and/or weak layers capturing heterogeneity at an appropriate resolution is the key for successful prediction fracture growth, landing depth and in maximizing effective stimulated rock volume (eSRV). Typically, when using computational methods such as Finite Element Method, the well log and petrophysical data deduced from various measurements and observations are upscaled and/or homogenized to the element size. Naturally, toughness is one of the most delicate physical parameters to handle as application of the homogenization techniques are rather questionable here (Caiulo and Kachanov, 2010, Kachanov, 1994) and proposed averaging (if possible) depends on the problem under consideration and the toughness distribution. Fortunately, since hydraulic fracturing is probably the only stable crack propagation problem, some estimates can be provided here. In particular, in this paper we try to estimate possible errors introduced by application of two strategies how to incorporate heterogeneous fracture toughness into numerical modelling. The first is more classical one (Richards et al. 2020) and the second one is recent analysis (Dontsov et al., 2021). We present series of numerical tests utilising a few periodic toughness distributions. For the simulations, we use an extremely effective in house built time - space adaptive solver utilizing main ideas from those reported in (Mishuris and Wrobel, 2015). It is capable to compute rather arbitrary distribution of the toughness. We restrict ourselves to the KGD model without leak off only as it allows us easy handling different regimes (toughness/viscosity) that would be crucial for the analysis as follows from this research.
AB - This paper aims to discuss recent studies on methods used to capture heterogeneity within a reservoir undergoing hydraulic fracturing treatment and their implication on modelling of fracture propagation. In highly laminated reservoirs with soft and/or weak layers capturing heterogeneity at an appropriate resolution is the key for successful prediction fracture growth, landing depth and in maximizing effective stimulated rock volume (eSRV). Typically, when using computational methods such as Finite Element Method, the well log and petrophysical data deduced from various measurements and observations are upscaled and/or homogenized to the element size. Naturally, toughness is one of the most delicate physical parameters to handle as application of the homogenization techniques are rather questionable here (Caiulo and Kachanov, 2010, Kachanov, 1994) and proposed averaging (if possible) depends on the problem under consideration and the toughness distribution. Fortunately, since hydraulic fracturing is probably the only stable crack propagation problem, some estimates can be provided here. In particular, in this paper we try to estimate possible errors introduced by application of two strategies how to incorporate heterogeneous fracture toughness into numerical modelling. The first is more classical one (Richards et al. 2020) and the second one is recent analysis (Dontsov et al., 2021). We present series of numerical tests utilising a few periodic toughness distributions. For the simulations, we use an extremely effective in house built time - space adaptive solver utilizing main ideas from those reported in (Mishuris and Wrobel, 2015). It is capable to compute rather arbitrary distribution of the toughness. We restrict ourselves to the KGD model without leak off only as it allows us easy handling different regimes (toughness/viscosity) that would be crucial for the analysis as follows from this research.
UR - http://www.scopus.com/inward/record.url?scp=85123360875&partnerID=8YFLogxK
M3 - Conference Proceeding (Non-Journal item)
AN - SCOPUS:85123360875
SN - 9781713839125
T3 - 55th U.S. Rock Mechanics / Geomechanics Symposium 2021
BT - 55th U.S. Rock Mechanics / Geomechanics Symposium 2021
PB - American Rock Mechanics Association (ARMA)
T2 - 55th U.S. Rock Mechanics / Geomechanics Symposium 2021
Y2 - 18 June 2021 through 25 June 2021
ER -