Seismic reservoir monitoring is a new technology that involves interpreting differences between different generations of 3-D seismic data in terms of changes in reservoir properties over time. A vast number of 3-D seismic surveys are repeated, in whole or in part, for reasons other than reservoir monitoring. In this paper, we cross-equalize two off-the-shelf migrated datacubes over a Gulf of Me...

The goal of this paper is the blind prediction of reservoir property from seismic attributes for well tops guided zones. Diverse variation in the reservoir properties, vertically and laterally, shows the nonlinear and complex nature of the reservoir system. In this context, use of a single network for the prediction of reservoir characteristic for a complete well may not be good in achieving ta...

Diierencing of time-dependent seismic monitor surveys requires that datasets are collected and processed consistently. Inconsistencies can result in data diierence noise great enough to obscure any reservoir changes. Inversion applied to each dataset may account for some of these inconsistencies. As an example, if the shape, temporal location, or radiation pattern of the seismic energy source i...

s). “Quantifying errors in fracture orientations estimated from PS converted wave” by Michelena (SEG 1995 Expanded Abstracts). “Stratigraphic inversion of poststack PS converted waves data,” by Valenciano and Michelena (SEG 2000 Expanded Abstracts). “Tomography + prestack depth migration of PS converted waves” by D’Agosto et al. (SEG 1998 Expanded Abstracts). “Pand S-wave separation ats). “Pand...

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

Geostatistical modeling of reservoir properties is common in the assessment of expected reservoir flow. Typically, static properties such as porosity, saturation and permeability are modeled with geostatistical techniques to quantify the level of uncertainty in reservoir characterization. Lately, practitioners have become concerned that purely statistical techniques do not sufficiently integrat...

The investigation and exploration of potential deep geothermal systems is based on detailed knowledge of their distinct reservoir characteristics. This is especially important in the exploration of potentially engineered geothermal systems and of mid to low enthalpy reservoir formations in greater depths, resp. In the early stages of geothermal reservoir exploration, characterization of the res...

In the exploration and production business, by far the largest component of geophysical spending is driven by the need to characterize (potential) reservoirs. The simple reason is that better reservoir characterization means higher success rates and fewer wells for reservoir exploitation. In this research work, seismic and well log data were integrated in characterizing the reservoirs on "ALA" ...

At an EOR field in South Oman an extensive synthetic modeling study was done in order understand steam flow behaviour within the reservoir. To understand the permeability distribution within the steam flooded zone, a simulated “Close-the-Loop” workflow was executed based on scenario modeling that relates changes in acoustic properties (velocity and density) with those in reservoir properties su...

the berriasian-valanginian fahliyan formation forms one of the giant reservoirs in the subsurface of the abadan plain, onshore iran. a detailed petrographical analysis of the available cores and thin sections revealed that the different diagenetic parameters influenced the reservoir quality of the fahliyan formation in this field. the fahliyan formation has been influenced by three diagenetic e...