During Phase 1 of the Weyburn Project (2000-2004), 4D reflection seismic data were used to map CO2 migration within the Midale reservoir, while an extensive fluid sampling program documented the geochemical evolution triggered by CO2-brine-oilmineral interactions. The aim of this task (3b.11) is to exploit these existing seismic and geochemical data sets, augmented by CO2/H2O injection and HC/H...

Detection of faults plays an important role in the characterization of reservoir regions. In this paper, we propose an automatic fault surface detection method using 3D Hough transform to improve the interpretation efficiency. We first highlight the likely fault points in seismic data by thresholding the corresponding discontinuity volumes. Then, we apply 3D Hough transform to detect the likely...

In this paper, we present a combined geological, geophysical and rock mechanics approach to natural fractured reservoir characterization. The local structure entropy analysis on 3D seismic data is used to detect distributions of fault and subfault systems. The curvature attribute along with modeled strain and stress field, constrained with the log data measuring Pand S-wave velocities and rock ...

Seismic data are used in petroleum exploration to define geologic features in the subsurface. Recent advancements in seismic exploration have examined the effect of fluid and rock properties on seismic attributes. These advancements may provide improved reservoir characterization using techniques examined here. This is accomplished two parts; first, a study of fluid properties and their effect ...

Optimal reservoir management requires reliable reservoir performance forecasts with as little uncertainty as possible. There is a need for improved techniques for dynamic data intergration to construct realistic reservoir models by using geostatistical techniques. This paper gives a method to create porosity models that honor interpreted pore volumes from well test data. Well porosity data, sei...

Time-lapse (4D) seismic data sets have proven to be extremely useful for reservoir monitoring. Seismic-derived impedance estimates are commonly used as a 4D attribute to constrain updates to reservoir fluid flow models. However, 4D seismic estimates of P-wave impedance can contain significant errors associated with the effects of seismic noise and the inherent instability of inverse methods. Th...

Accurate integration of flow simulation and seismic modeling is one of the cornerstones of reliable time-lapse (4D) seismic monitoring. However, the question which scales flow simulations need to resolve to accurately capture reservoir changes during production and whether these scales are resolvable in seismic data is an open one. The answer impacts computational costs and our ability to predi...

In this paper, we illustrate the modeling of a reservoir property (sand fraction) from seismic attributes namely seismic impedance, seismic amplitude, and instantaneous frequency using Neuro-Fuzzy (NF) approach. Input dataset includes 3D post-stacked seismic attributes and six well logs acquired from a hydrocarbon field located in the western coast of India. Presence of thin sand and shale laye...

Fractured reservoirs account for a majority of the oil production worldwide and often have low recovery rate. Fracture characterization is important in building reservoir flow models for enhanced oil recovery. Information about fracture orientation, fracture spacing, and fracture compliances is essential. When a fracture network consisting of multiple sets of fractures with variable fracture sp...

| We consider the problem of characterizing the lithology of a reservoir using gamma ray logs as well as seismic traces around the well. We rst calculate the continuous wavelet transform of the the data and then use the fact that the energy of such transformation is proportional to a power of its scale. The technique consists in estimating the power transformation obtaining a set of values of t...