Production-induced stresses from time-lapse time shifts: A geomechanics case study from Franklin and Elgin fields

Hawkins, Keith; Howe, Sharon; Hollingworth, S.; Conroy, Graham; Ben-Brahim, L.; Tindle, C.; Taylor, N.; Joffroy, G.; Onaisi, A.

doi:10.1190/1.2737105

Cited by 25 publications

(17 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such deformation has been observed in both geodetic data (Castle et al 1969, Evans et al 1982, Dussealt et al 1993, Bruno and Bilak 1994, Chilingarian et al 1994, Castillo et al 1997, Fielding et al 1998, Wright 1998, Mossop and Segall 1999, Du and Olson 2001, Stancliffe and van der Kooij 2001, Vasco et al 2002, Du et al 2005, Vasco and Ferretti 2005 and time-lapse seismic surveys (Guilbot and Smith 2002, Hatchell and Burne 2005, Hawkins et al 2007, Staples et al 2007). Furthermore, current and planned instrumentation, such as permanent sea floor sensors and high precision pressure gauges (Sasagawa et al 2003) can generate useful displacement measurements.…”

Section: Discussionmentioning

confidence: 99%

“…InSAR observations may be used to image fluid-induced deformation over regions tens to hundreds of square kilometers in extent (Fielding et al 1998, Galloway et al 1998, Amelung et al 1999, Hoffmann et al 2001, Schmidt and Burgmann 2003, Colesanti et al 2003, Vasco and Ferretti 2005. Second, recent developments in the processing of time-lapse seismic data allow for estimates of deformation in the overburden and within the reservoir (Guilbot and Smith 2002, Landro and Stammeijer 2004, Tura et al 2005, Hatchell and Bourne 2005, Barkved and Kristiansen 2005, Hall 2006, Roste et al 2006, Staples et al 2007, Hawkins et al 2007). Such estimates offer high resolution, three-dimensional sampling of deformation over a producing reservoir.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimating permeability from quasi-static deformation: Temporal variations and arrival-time inversion

2008

View full text Add to dashboard Cite

Transient pressure variations within a reservoir can be treated as a propagating front and analyzed using an asymptotic formulation. From this perspective one can define a pressure 'arrival time' and formulate solutions along trajectories, in the manner of ray theory. We combine this methodology and a technique for mapping overburden deformation into reservoir volume change as a means to estimate reservoir flow properties, such as permeability. Given the entire 'travel time' or phase field, obtained from the deformation data, we can construct the trajectories directly, there-by linearizing the inverse problem. A numerical study indicates that, using this approach, we can infer large-scale variations in flow properties. In an application to Interferometric Synthetic Aperture (InSAR) observations associated with a CO 2 injection at the Krechba field, Algeria, we image pressure propagation to the northwest. An inversion for flow properties indicates a linear trend of high permeability.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating permeability from quasi-static deformation: Temporal variations and arrival-time inversion

2008

View full text Add to dashboard Cite

show abstract

“…For example, recent studies highlight the role of pressure changes and associated deformation in observed time-lapse seismic anomalies below, within, and above a producing reservoir (Guilbot & Smith 2002;Landro & Stammeijer 2004;Hatchell & Bourne 2005;Tura et al 2005;Hawkins et al 2007;Hodgson et al 2007;Rickett et al 2007;Roste et al 2007;Schutjens et al 2007;Staples et al 2007). These studies document both changes in layer position and thickness as well as seismic velocity changes due to stress variations.…”

Section: Introductionmentioning

confidence: 97%

Modelling broad-band poroelastic propagation using an asymptotic approach

Vasco¹

2009

Geophysical Journal International

View full text Add to dashboard Cite

S U M M A R YAn asymptotic method, valid in the presence of smoothly varying heterogeneity, is used to derive a semi-analytic solution to the equations for fluid and solid displacements in a poroelastic medium. The solution is defined along trajectories through the porous medium model, in the manner of ray theory. The lowest order expression in the asymptotic expansion provides an eikonal equation for the phase. There are three modes of propagation, two modes of longitudinal displacement and a single mode of transverse displacement. The two longitudinal modes define the Biot fast and slow waves which have very different propagation characteristics. In the limit of low frequency, the Biot slow wave propagates as a diffusive disturbance, in essence a transient pressure pulse. Conversely, at low frequencies the Biot fast wave and the transverse mode are modified elastic waves. At intermediate frequencies the wave characteristics of the longitudinal modes are mixed. A comparison of the asymptotic solution with analytic and numerical solutions shows reasonably good agreement for both homogeneous and heterogeneous earth models.

show abstract

“…To investigate the influence of induced seismic anisotropy as well as induced velocity heterogeneity on estimated timelapse seismic attributes (e.g., Hawkins et al 2007;Herwanger and Horne 2009), both anisotropic elastic models and equivalent isotropic elastic models are constructed. The isotropic model assumes vertical effective stress changes only, and hence the elastic tensor C 33 is used to compute the P-wave velocity.…”

Section: Figure 3 Here]mentioning

confidence: 99%

“…pressure inside a producing reservoir has been observed in a number of reservoirs in the Gulf of Mexico and North Sea, particularly in the high-porosity, over-pressured (HPHT) sand and chalk reservoirs with large thickness (e.g., Guilbot and Smith 2002;Hawkins et al 2007;Herwanger and Horne 2009). …”

mentioning

confidence: 99%

Analysis of time-lapse travel-time and amplitude changes to assess reservoir compartmentalization

Angus

Clark

et al. 2015

Geophysical Prospecting

View full text Add to dashboard Cite

Fluid depletion within a compacting reservoir can lead to significant stress and strain changes and potentially severe geomechanical issues, both inside and outside the reservoir. We extend previous research of time-lapse seismic interpretation by incorporating synthetic near-offset and full-offset common-midpoint reflection data using anisotropic ray tracing to investigate uncertainties in timelapse seismic observations. The time-lapse seismic simulations use dynamic elasticity models built from hydro-geomechanical simulation output and a stress-dependent rock physics model. The reservoir model is a conceptual two-fault graben reservoir, where we allow the fault fluid-flow transmissibility to vary from high to low to simulate non-compartmentalized and compartmentalized reservoirs respectively. The results indicate time-lapse seismic amplitude changes and traveltime shifts can be used to qualitatively identify reservoir compartmentalization. Due to the high repeatability and good quality of the time-lapse synthetic dataset, the estimated traveltime shifts and amplitude changes for near-offset data match the true model subsurface changes with minimal errors. A 1D velocity-strain relation was used to estimate the vertical velocity change for the reservoir bottom interface by applying zero-offset time-shifts from both the near-offset and full-offset measurements.For near-offset data, the estimated P-wave velocity changes were within 10% of the true value.However, for full-offset data, time-lapse attributes are quantitatively reliable using standard time-lapse seismic methods when an updated velocity model is used rather than the baseline model.

show abstract

Production-induced stresses from time-lapse time shifts: A geomechanics case study from Franklin and Elgin fields

Cited by 25 publications

References 0 publications

Estimating permeability from quasi-static deformation: Temporal variations and arrival-time inversion

Estimating permeability from quasi-static deformation: Temporal variations and arrival-time inversion

Modelling broad-band poroelastic propagation using an asymptotic approach

Analysis of time-lapse travel-time and amplitude changes to assess reservoir compartmentalization

Contact Info

Product

Resources

About