Abstract:A. A. VassiliouWe conducted a crosswell survey to evaluate the stratigraphy and structure in and near a stratigraphically complex limestone reservoir in the Permian Basin of West Texas. Although the reservoir was detected with surface seismic data and was successfully drilled, the surface data had insufficient resolution to image its internal structure and to determine its relationship with nearby sedimentary rocks. This is a common problem in surveys of carbonate strata, where large seismic velocities result … Show more
“…The inversion zone is discretized in 31 × 61 grids. In the second example, we built the complex model based on velocity model from the previous study in King mountain field in west Texas (Langan et al, 1997). Figure 2a shows the true model.…”
Section: Synthetic Examplesmentioning
confidence: 99%
“…For example, the reservoir boundaries in King mountain field in the Permian Basin of west Texas is ambiguous, in particular uncertainties about the bottom of reservoir, which critically influence the location of water well drilling. On the other hand, from previous studies, the lateral extent of reservoir is lost to track when massive carbonate reservoir had detected in another 640 ft well away (Langan et al, 1997). For the further qualitative and quantitative assessment and development of reservoir, sufficient information about the lateral and vertical extent of reservoir is needed.…”
Delineating reservoir units is still a challenge for seismic studies. In this paper, we propose to use seismic crosswell inversion with a new boundary-preserving constraint for delineating the ambiguous geometry of a reservoir. The advantage of boundary-preserving constrained inversion is to preserve the geologic boundary of target reservoir. Firstly, we use synthetic examples to verify the methodology in comparison with those of conventional smoothly constrained inversion. Then we apply this boundary-preserving inversion method to field data. We found that the boundary preserving constraints improve image quality by preserving the expected boundaries-top and base of reservoir.
“…The inversion zone is discretized in 31 × 61 grids. In the second example, we built the complex model based on velocity model from the previous study in King mountain field in west Texas (Langan et al, 1997). Figure 2a shows the true model.…”
Section: Synthetic Examplesmentioning
confidence: 99%
“…For example, the reservoir boundaries in King mountain field in the Permian Basin of west Texas is ambiguous, in particular uncertainties about the bottom of reservoir, which critically influence the location of water well drilling. On the other hand, from previous studies, the lateral extent of reservoir is lost to track when massive carbonate reservoir had detected in another 640 ft well away (Langan et al, 1997). For the further qualitative and quantitative assessment and development of reservoir, sufficient information about the lateral and vertical extent of reservoir is needed.…”
Delineating reservoir units is still a challenge for seismic studies. In this paper, we propose to use seismic crosswell inversion with a new boundary-preserving constraint for delineating the ambiguous geometry of a reservoir. The advantage of boundary-preserving constrained inversion is to preserve the geologic boundary of target reservoir. Firstly, we use synthetic examples to verify the methodology in comparison with those of conventional smoothly constrained inversion. Then we apply this boundary-preserving inversion method to field data. We found that the boundary preserving constraints improve image quality by preserving the expected boundaries-top and base of reservoir.
“…Seismic technologies can be used to monitor the injected CO 2 and its displacement process (Langan et al, 1997) only if the injected CO 2 causes sufficient changes in seismic proper ties of the formation rock. The displacement process can be either mis cible or immiscible depending on pressure and tempera ture.…”
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“…Crosswell seismic profiling (XSP) as a high-resolution seismic method is used for reservoir management to characterize and delineate reservoirs (e.g., Langan et al, 1997). An XSP includes velocity tomography and reflection imaging (e.g., migration).…”
Delineating reservoir units is still a challenge for seismic approaches. Even high-resolution crosswell tomographic approaches that produce smooth velocity models to match traveltime data usually provide limited information about the boundaries of subsurface targets. A recent development of seismic traveltime tomography incorporated with a boundary-preserving regularization constraint promisingly helps to resolve ambiguities in reservoir boundaries, while allowing lateral variations. We applied a kind of boundarypreserving traveltime tomography to delineate boundaries of the reservoir and CO 2 -saturated zones. We chose the minimum gradient support as the regularization to preserve boundaries of the geologic target by penalizing smaller model gradients and smoothing small model variations caused by noise. We evaluated several synthetic and real data applications. Synthetic examples demonstrated that the boundary-preserving algorithm produced improved recovery of the profile shape and velocity values of the blocky targets. Two real applications were for delineating the top and base of the reservoir in the King Mountain field, and for delineating a CO 2 -saturated zone in the McElroy field. These inversion results suggested that the boundarypreserving inversion is able to provide better delineation of the top and base boundaries of the reservoir and boundaries of the CO 2 -saturated zone than the conventional smooth-constrained inversion.
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