Comparison of Fluid Prediction Success between AVO and Bright Spot Techniques in the Marco Polo Field, the Gulf of Mexico.

2011 ◽  
Author(s):  
Krongrath Suwannasri ◽  
Robert H. Tatham ◽  
Kyle Spikes
Geophysics ◽  
2001 ◽  
Vol 66 (6) ◽  
pp. 1864-1876 ◽  
Author(s):  
Tad M. Smith ◽  
Carl H. Sondergeld

Exploration programs in deepwater Tertiary basins (e.g., the Gulf of Mexico) typically rely on bright‐spot and amplitude variation with offset (AVO) technology to help identify oil‐ and gas‐charged sands. The reliance on these attributes, along with the high cost of exploration programs in deepwater environments, has driven the need to examine the limitations of these technologies and to build robust models for the conditions under which AVO is useful as a fluid and/or lithology indicator. We build subregional AVO background trends for both brine‐ and gas‐saturated sands from several wells from the eastern deepwater Gulf of Mexico. These trends are built from the depth dependencies of velocities and densities for both shale and sands (brine saturated). Simple models of AVO gradient and intercept are constructed as a function of depth below the mud line. Sand and shale properties show little velocity contrast, justifying the interpretation of these data in the context of linearized AVO models. In addition to the in‐situ brine response, the response to gas is also calculated. These trend models indicate that the AVO response is suppressed (although still positive) below a depth of approximately 10 000 ft below the mud line. Even optimistic porosity modeling (sand porosity >30°) does not substantially change this conclusion. An important corollary is that the absence of a strong AVO anomaly at these deeper depths cannot be used with confidence when ruling out hydrocarbon presence. This observation also highlights the need to crossplot attributes to best predict hydrocarbon presence. Velocity data collected as part of this study are also used to generate a local shear velocity estimator for sands and shale. These shear estimators are similar in form to other published estimators, but minor differences in coefficients may become important in AVO modeling.


2017 ◽  
Author(s):  
Umberto Barbato ◽  
Oleg Portniaguine ◽  
Ben Winkelman ◽  
John Castagna

Geophysics ◽  
1999 ◽  
Vol 64 (5) ◽  
pp. 1480-1491 ◽  
Author(s):  
Patrice Nsoga Mahob ◽  
John P. Castagna ◽  
Roger A. Young

An iterative and linearized inversion algorithm carried out in the x-t domain has been applied to a prestack seismic data set from the central Gulf of Mexico, offshore Louisiana. Sonic and density curves from a well located close to the seismic line are used to generate the initial starting models for the inversion. We tested the geologically realistic hypothesis that the starting models have an accurate impedance structure outside of the potential pay zone and that the prospective pay zone will have mechanical properties consistent with the presence or absence of hydrocarbons. The inversion, performed with starting models with pay zones with a Poisson’s ratio appropriate for 100% brine saturation or with a Poisson’s ratio intermediate between expected values for full brine and hydrocarbon saturation, does not converge to the real seismic gather. However, with a starting model having a Poisson’s ratio appropriate for hydrocarbon saturation in the target zone, there is convergence from the initial to the real seismic gather.


2002 ◽  
Author(s):  
Donn McGuire ◽  
Timothy Fasnacht ◽  
Jock Drummond ◽  
Peter Gamwell ◽  
Arnold Rodriguez ◽  
...  

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