Abstract:Pore-pressure depletion causes changes in the triaxial stress state. Pore-pressure depletion in a flat reservoir, for example, can be reasonably approximated as uniaxial compaction, in which the horizontal effective stress change is smaller than the vertical effective stress. Furthermore, the stress sensitivity of velocities can be angle-dependent.Therefore, time-lapse changes in reservoir elastic anisotropy are expected as a consequence of production, which can complicate the interpretation of the 4D seismic … Show more
“…Transverse isotropy is commonly employed in the study of overburden shales (Asaka, 2023; Delle Piane et al., 2011, 2014; Dewhurst & Siggins, 2006; Hornby, 1998; Johnston, 1987; Jones & Wang, 1981; Sarout & Guéguen, 2008; Thomsen, 1986). However, to conclude, this needs to be experimentally verified.…”
Section: Methodsmentioning
confidence: 99%
“…The TOE model proposed by assumes isotropic symmetry of the third-order tensor, resulting in a strain sensitivity of the dynamic stiffness that is independent of direction. This model has been cali-brated to ultrasonic data obtained from different lithologies (Prioul & Lebrat, 2004; and has been utilized to predict the seismic response (Asaka, 2023;Herwanger & Koutsabeloulis, 2011;MacBeth et al, 2018). Apart from Duda et al (2020) and Bakk, Holt, Duda et al (2020), who studied a model with hexagonal symmetry of the TOE tensor, restricted to isotropic horizontal strains, only isotropic TOE tensors have been employed in the modelling of sedimentary rocks (Asaka, 2023;Donald & Prioul, 2015;Prioul & Lebrat, 2004;Rasolofosaon, 1998;Sarkar et al, 2003;Sinha & Kostek, 1996;Winkler & Liu, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…(2004) assumes isotropic symmetry of the third‐order tensor, resulting in a strain sensitivity of the dynamic stiffness that is independent of direction. This model has been calibrated to ultrasonic data obtained from different lithologies (Prioul & Lebrat, 2004; Prioul et al., 2004) and has been utilized to predict the seismic response (Asaka, 2023; Fuck et al., 2009; Herwanger & Koutsabeloulis, 2011; MacBeth et al., 2018). Apart from Duda et al.…”
Section: Introductionmentioning
confidence: 99%
“…(2020) and Bakk, Holt, Duda et al. (2020), who studied a model with hexagonal symmetry of the TOE tensor, restricted to isotropic horizontal strains, only isotropic TOE tensors have been employed in the modelling of sedimentary rocks (Asaka, 2023; Donald & Prioul, 2015; Fuck et al., 2009; Prioul & Lebrat, 2004; Prioul et al., 2004; Rasolofosaon, 1998; Sarkar et al., 2003; Sinha & Kostek, 1996; Winkler & Liu, 1996). To our knowledge, a transversely isotropic (TI) symmetric TOE tensor has not been previously proposed for any application.…”
The formations above a producing reservoir can exhibit large mechanical changes, creating a risk of significant subsidence and loss of rock integrity. These changes can be monitored by time‐lapse seismic acquisition, which measures the corresponding velocity changes via time‐shifts. Third‐order elastic theory can be used to connect subsurface strains and stress changes to these seismic attribute changes. Existing models assume isotropic strain dependence of the dynamic stiffness in shales. It is important to re‐evaluate this isotropic assumption considering the inherent anisotropy of shales and their abundance in the overburden. Thus, we instead propose a third‐order elastic model with a transversely isotropic strain dependence of the dynamic stiffness. When calibrated, this new model satisfactorily predicted P‐wave velocity changes determined in undrained laboratory experiments conducted on overburden field shales, covering a wide range of propagation directions and stress variations. The shales exhibit anisotropic dynamic strain sensitivity, resulting in a significantly higher strain sensitivity predicted for Thomsen's anisotropy parameters epsilon and delta subjected to a uniaxial strain parallel to the horizontal bedding plane compared to the vertical direction. Geomechanical modelling, considering a depleting disk‐shaped reservoir surrounded by shales, was employed to predict the dynamic stiffness changes of the overburden using the laboratory‐calibrated third‐order elastic model. The overburden time‐shifts increased with offset angle, peaking at about 45°, suggesting a strong influence of shear strains on the time‐shifts. In contrast, a corresponding model with an isotropic third‐order elastic tensor, calibrated to the same data, exhibited a significantly lower sensitivity to the shear strains. These results underscore the importance of considering the anisotropic strain dependence of the dynamic stiffness when studying shales. Interpreting offset‐dependent trends in pre‐stack time‐lapse seismic data, along with geomechanical modelling and an appropriate strain‐dependent rock physics model, can assist in quantifying subsurface strains and stress changes.
“…Transverse isotropy is commonly employed in the study of overburden shales (Asaka, 2023; Delle Piane et al., 2011, 2014; Dewhurst & Siggins, 2006; Hornby, 1998; Johnston, 1987; Jones & Wang, 1981; Sarout & Guéguen, 2008; Thomsen, 1986). However, to conclude, this needs to be experimentally verified.…”
Section: Methodsmentioning
confidence: 99%
“…The TOE model proposed by assumes isotropic symmetry of the third-order tensor, resulting in a strain sensitivity of the dynamic stiffness that is independent of direction. This model has been cali-brated to ultrasonic data obtained from different lithologies (Prioul & Lebrat, 2004; and has been utilized to predict the seismic response (Asaka, 2023;Herwanger & Koutsabeloulis, 2011;MacBeth et al, 2018). Apart from Duda et al (2020) and Bakk, Holt, Duda et al (2020), who studied a model with hexagonal symmetry of the TOE tensor, restricted to isotropic horizontal strains, only isotropic TOE tensors have been employed in the modelling of sedimentary rocks (Asaka, 2023;Donald & Prioul, 2015;Prioul & Lebrat, 2004;Rasolofosaon, 1998;Sarkar et al, 2003;Sinha & Kostek, 1996;Winkler & Liu, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…(2004) assumes isotropic symmetry of the third‐order tensor, resulting in a strain sensitivity of the dynamic stiffness that is independent of direction. This model has been calibrated to ultrasonic data obtained from different lithologies (Prioul & Lebrat, 2004; Prioul et al., 2004) and has been utilized to predict the seismic response (Asaka, 2023; Fuck et al., 2009; Herwanger & Koutsabeloulis, 2011; MacBeth et al., 2018). Apart from Duda et al.…”
Section: Introductionmentioning
confidence: 99%
“…(2020) and Bakk, Holt, Duda et al. (2020), who studied a model with hexagonal symmetry of the TOE tensor, restricted to isotropic horizontal strains, only isotropic TOE tensors have been employed in the modelling of sedimentary rocks (Asaka, 2023; Donald & Prioul, 2015; Fuck et al., 2009; Prioul & Lebrat, 2004; Prioul et al., 2004; Rasolofosaon, 1998; Sarkar et al., 2003; Sinha & Kostek, 1996; Winkler & Liu, 1996). To our knowledge, a transversely isotropic (TI) symmetric TOE tensor has not been previously proposed for any application.…”
The formations above a producing reservoir can exhibit large mechanical changes, creating a risk of significant subsidence and loss of rock integrity. These changes can be monitored by time‐lapse seismic acquisition, which measures the corresponding velocity changes via time‐shifts. Third‐order elastic theory can be used to connect subsurface strains and stress changes to these seismic attribute changes. Existing models assume isotropic strain dependence of the dynamic stiffness in shales. It is important to re‐evaluate this isotropic assumption considering the inherent anisotropy of shales and their abundance in the overburden. Thus, we instead propose a third‐order elastic model with a transversely isotropic strain dependence of the dynamic stiffness. When calibrated, this new model satisfactorily predicted P‐wave velocity changes determined in undrained laboratory experiments conducted on overburden field shales, covering a wide range of propagation directions and stress variations. The shales exhibit anisotropic dynamic strain sensitivity, resulting in a significantly higher strain sensitivity predicted for Thomsen's anisotropy parameters epsilon and delta subjected to a uniaxial strain parallel to the horizontal bedding plane compared to the vertical direction. Geomechanical modelling, considering a depleting disk‐shaped reservoir surrounded by shales, was employed to predict the dynamic stiffness changes of the overburden using the laboratory‐calibrated third‐order elastic model. The overburden time‐shifts increased with offset angle, peaking at about 45°, suggesting a strong influence of shear strains on the time‐shifts. In contrast, a corresponding model with an isotropic third‐order elastic tensor, calibrated to the same data, exhibited a significantly lower sensitivity to the shear strains. These results underscore the importance of considering the anisotropic strain dependence of the dynamic stiffness when studying shales. Interpreting offset‐dependent trends in pre‐stack time‐lapse seismic data, along with geomechanical modelling and an appropriate strain‐dependent rock physics model, can assist in quantifying subsurface strains and stress changes.
“…If the stress change is anisotropic, then the change in elastic wave velocities will also be anisotropic. Laboratory measurements of stress-dependent elastic wave velocities in sandstones have been reported, for example, by Han (1986), Holt and Fjaer (1987), Sammonds et al (1989), Sayers et al (1990), Freund (1992), Scott et al (1993), Winkler and Liu (1996), Khaksar et al (1999), Khazanehdari and McCann (2005), Bathija et al (2009) and Asaka (2022).…”
The strong sensitivity of velocity to stress observed in many sandstones originates from the response of stress‐sensitive discontinuities such as grain contacts and microcracks to a change in effective stress. If the change in stress is anisotropic, then the change in elastic wave velocities will also be anisotropic. Characterization of stress‐induced elastic anisotropy in sandstones may enable estimation of the in situ three dimensional stress tensor with important application in solving problems occurring during drilling, such as borehole instability, and during production, such as sanding and reservoir compaction. Other applications include designing hydraulic fracture stimulations and quantifying production‐induced stresses which may lead to rock failure. Current methods for estimating stress anisotropy from acoustic anisotropy rely on third‐order elasticity, which ignores rock microstructure and gives elastic moduli that vary linearly with strain. Elastic stiffnesses in sandstones vary non‐linearly with stress. Using P‐ and S‐wave velocities measured on Gulf of Mexico sandstones, this non‐linearity is found to be consistent with a micromechanical model in which the discontinuities are represented by stress‐dependent normal and shear compliances. Stress‐induced anisotropy increases with increasing stress anisotropy at small stress but then decreases at larger stresses as the discontinuities close and their compliance decreases. When the ratio of normal‐to‐shear compliance of the discontinuities is unity, the stress‐induced anisotropy is elliptical, but for values different from unity, the stress‐induced anisotropy becomes anelliptic. Although vertical stress can be obtained by integrating the formation's bulk density from the surface to the depth of interest, and minimum horizontal stress can be estimated using leak‐off tests or hydraulic fracture data, maximum horizontal stress is more difficult to estimate. Maximum horizontal stress is overpredicted based on third‐order elasticity using measured shear moduli, with estimates of pore pressure, vertical stress and minimum horizontal stress as input. The non‐linear response of grain contacts and microcracks to stress must be considered to improve such estimates.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.