Incorporating 4D seismic data into reservoir models while honoring production and geologic data: A case study

Castro, S.; Caers, Jef; Otterlei, Cecilie; Meisingset, Hilde; Hoye, Trond; Gomel, Perrine; Zachariassen, E.

doi:10.1190/1.3272706

Cited by 23 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As Chadwick et al (2009) summarize, the seismic data clearly image the progressive development of the plume (Figure 5a), even without the aid of 4D differences. Since 1996, CO 2 separated from natural gas produced from the Sleipner Øst Ty reservoir has been injected into a shallow saline aquifer at a depth of approximately 1012 m subsea.…”

Section: Ccs and Environmental Monitoringmentioning

confidence: 69%

Practical Applications of Time-lapse Seismic Data

Johnston

2013

127

View full text Add to dashboard Cite

show abstract

Section: Ccs and Environmental Monitoringmentioning

confidence: 69%

Practical Applications of Time-lapse Seismic Data

Johnston

2013

127

View full text Add to dashboard Cite

show abstract

“…This method is devoted to combine the soft and hard data for the reservoir characterization. This concept was used for further modifications (Khani et al 2017;Oliveira et al 2017;Castro et al 2009;Li and Caers 2011). Hamdi et al used MPS in facies modeling to match the well test data (Hamdi et al 2014).…”

Section: Mps Applicationsmentioning

confidence: 99%

Enduring effect of permeability texture for enhancing accuracy and reducing uncertainty of reservoir fluid flow through porous media

et al. 2019

View full text Add to dashboard Cite

Modeling reservoir permeability is one of the crucial tasks in reservoir simulation studies. Traditionally, it is done by kriging-based methods. More rigorous modeling of the permeability results in more reliable outputs of the reservoir models. Recently, a new category of geostatistical methods has been used for this purpose, namely multiple point statistics (MPS). By this new category of permeability modeling methods, one is able to predict the heterogeneity of the reservoir permeability as a continuous variable. These methods consider the direction of property variation in addition to the distances of known locations of the property. In this study, the reservoir performance of a modified version of the SPE 10 solution project as a pioneer case is used for investigating the efficiency of these methods and paralleling them with the kriging-based one. In this way, the permeability texture concept is introduced by applying some MPS methods. This study is accomplished in the conditions of real reservoir dimensions and velocities for the whole reservoir life. A continuous training image is used as the input of calculation for the permeability modeling. The results show that the detailed permeability of the reservoir as a continuous variable makes the reservoir simulation show the same fluid front movement and flooding behavior of the reservoir similar to the reference case with the same permeability heterogeneity. Some MPS methods enable the reservoir simulation to reproduce the fluid flow complexities such as bypassing and oil trapping during water flooding similar to the reference case. Accordingly, total oil production is predicted with higher accuracy and lower uncertainty. All studied cases are identical except for the permeability texture. Even histograms and variograms of permeabilities for the studied reservoir are quite similar, but the performance of the reservoir shows that kriging-based method results have slightly less accuracy than some MPS methods. Meanwhile, it results in lower uncertainty in outputs for this water flooding case performance.

show abstract

“…We observe that in many real applications, the geocellular grid (cornerpoint grid) used to model petrophysical and dynamic properties in the reservoir does not coincide with the seismic grid. In particular, geocellular grid cells usually are larger than the bin size of the seismic survey, which calls for a downscaling of the grid (Castro et al, 2009). Furthermore, the velocity models must be converted from depth domain to time domain to perform seismic convolution and obtain synthetic seismic volumes.…”

Section: Geophysical Forward Modelmentioning

confidence: 99%

Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method

et al. 2012

View full text Add to dashboard Cite

We presented a new methodology for seismic reservoir characterization that combined advanced geostatistical methods with traditional geophysical models to provide fine-scale reservoir models of facies and reservoir properties, such as porosity and net-to-gross. The methodology we proposed was a stochastic inversion where we simultaneously obtained earth models of facies, rock properties, and elastic attributes. It is based on an iterative process where we generated a set of models of reservoir properties by using sequential simulations, calculated the corresponding elastic attributes through rock-physics relations, computed synthetic seismograms and, finally, compared these synthetic results with the real seismic amplitudes. The optimization is a stochastic technique, the probability perturbation method, that perturbs the probability distribution of the initial realization and allows obtaining a facies model consistent with all available data through a relatively small number of iterations. The probability perturbation approach uses the Tau model probabillistic method, which provides an analytical representation to combine single probabilistic information into a joint conditional probability. The advantages of probability perturbation method are that it transforms a 3D multiparameter optimization problem into a set of 1D optimization problems and it allowed us to include several probabilistic information through the Tau model. The method was tested on a synthetic case where we generated a set of pseudologs and the corresponding synthetic seismograms. We then applied the method to a real well profile, and finally extended it to a 2D seismic section. The application to the real reservoir study included data from three wells and partially stacked near and far seismic sections, and provided as a main result the set of optimized models of facies, and of the relevant petrophysical properties, to be the initial static reservoir models for fluid flow reservoir simulations.

show abstract

Incorporating 4D seismic data into reservoir models while honoring production and geologic data: A case study

Cited by 23 publications

References 0 publications

Practical Applications of Time-lapse Seismic Data

Practical Applications of Time-lapse Seismic Data

Enduring effect of permeability texture for enhancing accuracy and reducing uncertainty of reservoir fluid flow through porous media

Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method

Contact Info

Product

Resources

About