Monitoring overburden layer changes and fault movements from time-lapse seismic data on the Valhall Field

Abstract

S U M M A R YA method developed by Røste et al., which discriminates between layer thickness and velocity changes, is tested on pre-stack time-lapse seismic ocean bottom cable (OBC) data from the Valhall Field. A key parameter in this discrimination process is the dilation factor, α, which is the relative velocity change divided by the relative thickness change within a given layer. The high quality and good repeatability of the OBC data enables us to estimate α with a reasonable accuracy for α-values between 0 and −5. For α-values below −5, complementary information, like for instance geomechanics is required. For the top reservoir horizon we estimate a maximum subsidence of 0.50 m ± 0.29 m and a corresponding velocity decrease for the sequence from the seabed to the top reservoir of 2.0 m s −1 ± 0.40 m s −1 .Time-lapse distortion patterns with characteristic time-shift versus offset signatures are observed. The positions and vertical extents of the distortion zones are determined from ray path considerations and modelling. The distortion zones correlate with buried faults, indicating that a (time-lapse) distortion zone might be produced by a localized slip in a fault zone. We present an extended method which allows for vertical (in addition to lateral) variations in the relative thickness and velocity changes. This method can be viewed as a simplified version of time-lapse tomography, but involving fewer unknown parameters, giving more stability to the estimated changes in thickness and velocity. Using this technique, we are able to estimate α for positions with localized time-lapse distortions.

Review Paper: A semi‐empirical model of strain sensitivity for 4D seismic interpretation

“…Several datasets have shown that time‐shifts may, or may not, vary with offset or azimuth (e.g. Røste, Landrø and Hatchell ; Hawkins ; Kudarova et al . ).…”

Time-lapse full-waveform inversion with ocean-bottom-cable data: Application on Valhall field

“…The 4D images produced with the LoFS data provide a structural framework for identifying undrained areas, managing existing wells, and analyzing geohazard potentials (Røste al., 2007;van Gestel et al, 2008). Integrated with reservoir modeling, LoFS system reduces the uncertainties in reservoir performance predictions (van Gestel et al, 2011).…”

Modelling broad-band poroelastic propagation using an asymptotic approach

“…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.…”