Integrating 3-D seismic imaging and seismic attribute analysis with genetic stratigraphy: implications for infield reserve growth and field extension, Budare Field, Venezuela

1997 ◽  
Vol 16 (9) ◽  
pp. 1338-1339
Author(s):  
Sandra K. Raeuchle ◽  
D. S. Hamilton ◽  
M. Uzcátegui
Keyword(s):  
Seismic Imaging ◽  
Field Extension ◽  
Seismic Attribute ◽  
Attribute Analysis ◽  
Reserve Growth ◽  
Genetic Stratigraphy

Integrating 3-D seismic imaging and seismic attribute analysis with genetic stratigraphy: Implications for infield reserve growth and field extension, Budare Field, Venezuela

Geophysics ◽  
1997 ◽  
Vol 62 (5) ◽  
pp. 1510-1523 ◽  
Author(s):  
Sandra K. Raeuchle ◽  
Douglas S. Hamilton ◽  
M. Uzcátegui
Keyword(s):  
Seismic Data ◽  
Seismic Imaging ◽  
Field Extension ◽  
Growth Potential ◽  
Well Log ◽  
Seismic Attribute ◽  
Attribute Analysis ◽  
Reserve Growth ◽  
Mouth Bar ◽  
Seismic Amplitudes

Despite being a mature oil producer, the Budare Field in the Eastern Venezuela Basin offers considerable reserve growth potential because of stratigraphic and structural complexity. Our ability to resolve these complexities was enhanced following acquisition in 1995 of a 3-D seismic data set over a large part of the field. The seismic data were tied by synthetic to well‐log data by several wells having sonic and density information and then integrated with the high‐resolution genetic stratigraphic framework established from well‐log correlations. Two key surfaces identified on the seismic data correlated directly to two stratigraphically defined sequence boundaries, maximum flooding surfaces (MFS) 80 and 100. A third seismic surface correlated approximately with the stratigraphically defined MFS 62. Collectively, these surfaces form fundamental control surfaces from which seismic attribute analysis and imaging from inverse modeling were undertaken. Four depositional trends detected by the seismic imaging and attribute analysis have important implications for reserve growth potential, guiding future field development. An incised valley, filled primarily with thick fluvial sandstones, was detected by mapping average seismic amplitudes between the MFS 62 and 80 markers, and several step‐out drilling locations were identified where the sandstones intersect structurally high positions. The distribution of thick distributary‐mouth‐bar facies, and moreover, the boundary with adjacent thin‐bedded strandplain facies, were similarly detected by mapping average seismic amplitudes in a 35-ms time window below MFS 80. The mouth‐bar facies coincide with the crestal position of a potentially large, structurally defined field extension supporting multiple potential infill wells. Several high‐negative‐amplitude anomalies coinciding with thick fluvial sandstones overlying MFS 62 display faulted boundaries and are interpreted as direct hydrocarbon indicators, providing obvious infill drilling locations, and finally, a marine ravinement surface separating the key oil‐producing reservoirs below MFS 80 was identified by seismic inversion.

scholarly journals Advanced seismic processing/imaging techniques and their potential for geothermal exploration

2016 ◽  
Vol 4 (4) ◽  
pp. SR1-SR18 ◽  
Author(s):  
Cédric Schmelzbach ◽  
Stewart Greenhalgh ◽  
Fabienne Reiser ◽  
Jean-François Girard ◽  
François Bretaudeau ◽  
...  
Keyword(s):  
Seismic Imaging ◽  
Imaging Techniques ◽  
Waveform Inversion ◽  
Seismic Exploration ◽  
S Wave ◽  
Converted Wave ◽  
Seismic Attribute ◽  
Geothermal Reservoirs ◽  
Hydrocarbon Reservoir ◽  
Attribute Analysis

Seismic reflection imaging is a geophysical method that provides greater resolution at depth than other methods and is, therefore, the method of choice for hydrocarbon-reservoir exploration. However, seismic imaging has only sparingly been used to explore and monitor geothermal reservoirs. Yet, detailed images of reservoirs are an essential prerequisite to assess the feasibility of geothermal projects and to reduce the risk associated with expensive drilling programs. The vast experience of hydrocarbon seismic imaging has much to offer in illuminating the route toward improved seismic exploration of geothermal reservoirs — but adaptations to the geothermal problem are required. Specialized seismic acquisition and processing techniques with significant potential for the geothermal case are the use of 3D arrays and multicomponent sensors, coupled with sophisticated processing, including seismic attribute analysis, polarization filtering/migration, converted-wave processing, and the analysis of the diffracted wavefield. Furthermore, full-waveform inversion and S-wave splitting investigations potentially provide quantitative estimates of elastic parameters, from which it may be possible to infer critical geothermal properties, such as porosity and temperature.

Seismic Attribute Analysis - An Aid in Fracture Play Mapping

2007 ◽  
Author(s):  
Srinivasa Rao Narhari ◽  
Nikhil Banik ◽  
Sunil Kumar Singh ◽  
Talal Fahad Al-Adwani
Keyword(s):  
Seismic Attribute ◽  
Attribute Analysis

Predict Channel Sand Body Distribution Characteristics of South Eighth District Based on RMS Amplitude Attributes & Frequency Division

2013 ◽  
Vol 734-737 ◽  
pp. 404-407 ◽  
Author(s):  
Yu Shuang Hu ◽  
Si Miao Zhu
Keyword(s):  
Seismic Data ◽  
Physical Property ◽  
Sedimentary Facies ◽  
Distribution Area ◽  
Frequency Division ◽  
Root Mean Square Amplitude ◽  
Seismic Attribute ◽  
Body Distribution ◽  
Attribute Analysis ◽  
Sand Body

A big tendency in oil industry is underestimating the heterogeneity of the reservoir and overestimating the connectivity, which results in overly optimistic estimates of the capacity. With the development of seismic attributes, we could pick up hidden reservoir lithology and physical property information from the actual seismic data, strengthen seismic data application in actual work, to ensure the objectivity of the results. In this paper, the channel sand body distribution in south eighth district of oilfield Saertu is predicted through seismic data root-mean-square amplitude and frequency division to identify sand body boundaries, predict the distribution area channel sand body characteristics successfully, which consistent with the sedimentary facies distribution. The result proves that seismic attribute analysis has good practicability in channel sand body prediction and sedimentary facies description.

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