Seismic Quantitative Interpretation of a Gas Bearing Reservoir - From Rock Physics to Volumetric

Álvarez, Pedro; Bolívar, Francisco; Marin, William; Lucas, M. Di; Salinas, Trino

doi:10.3997/2214-4609.20141310

Cited by 3 publications

(2 citation statements)

References 4 publications

(3 reference statements)

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“…Using the seismic derived elastic properties (see figure 6) and the RPTs we can identify those zones with highest probabilities of being gas bearing sands. It is important to note that a detailed QC analysis on the seismic inversion and the well-seismic calibration needs to be previously done in order to assure the most reliable result (Alvarez, P., et al, 2014). Figure 7 shows the highlighted geobodies using the log scale RPTs (see black polygon) where a thick gas reservoir in the well B can be easily identified.…”

Section: Upscaled Rock Physics Templates For Seismic Reservoir Characmentioning

confidence: 99%

Upscaled rock-physics templates for seismic reservoir characterization in thin-sand reservoirs

Hernandez¹,

Newton²,

Luca

2016

SEG Technical Program Expanded Abstracts 2016

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Rock Physics Templates (RPTs) are useful tools for well seismic quantitative interpretation that allow interpreters to understand rock properties variations for a given set of geophysical attributes. RPTs can be used in combination with seismic derived elastic attributes to estimate lithology, porosity and possibly fluid type in the prospective non drilled areas. RPTs are commonly built using rock physics models at log scale. However, depending on seismic data resolution and reservoir thickness, the elastic trend responses may not fall in agreement with the log scale domain. In this work we apply a methodology (Marin and Vera de Newton, 2016) for upscaling RPTs to the seismic frequency using well data from a thin gas shaly sandstone reservoir in the Lower Magdalena basin. Geobody extractions from the seismic inversion derived attributes show how upscaled RPTs allow the identification of thin reservoirs that were not previously detected using the log scale RPTs.

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Section: Upscaled Rock Physics Templates For Seismic Reservoir Characmentioning

confidence: 99%

Upscaled rock-physics templates for seismic reservoir characterization in thin-sand reservoirs

Hernandez¹,

Newton²,

Luca

2016

SEG Technical Program Expanded Abstracts 2016

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“…The other well was used as a blind test of the MARS technique. Well-log and seismic gather conditioning followed by a prestack simultaneous seismic inversion were performed in the area (Alvarez et al, 2014), to obtain seismically derived volumes of I P and I S . Figure 8a and 8b shows cross sections through the resultant I P and Poisson's ratio cube along wells A and B, together with its logs of I P and Poisson's ratio upscaled to seismic resolution.…”

Section: Case Study 2: Onshore Colombiamentioning

confidence: 99%

Multiattribute rotation scheme: A tool for reservoir property prediction from seismic inversion attributes

Álvarez¹,

Bolívar²,

Luca³

et al. 2015

Interpretation

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The multiattribute rotation scheme (MARS) is a methodology that uses a numerical solution to estimate a transform to predict petrophysical properties from elastic attributes. This is achieved by estimating a new attribute in the direction of maximum change of a target property in an n-dimensional Euclidean space formed by an n number of attributes and subsequent scaling of this attribute to the target unit properties. We have computed the transform from well-log-derived elastic attributes and petrophysical properties, and we have posteriorly applied it to seismically derived elastic attributes. Such transforms can be used to estimate reservoir property volumes for reservoir characterization and delineation in exploration and production settings and to estimate secondary variables in geostatistical workflows for static model generation and reserve estimation. To illustrate the methodology, we applied MARS to estimate a transform to predict the water saturation and total porosity from elastic attributes in a well located in the Barents Sea as well as to estimate a water-saturation volume in a mud-rich turbidite gas reservoir located onshore Colombia.

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Quantitative Interpretation: Use of Seismic Inversion Data to Directly Estimate Hydrocarbon Reserves and Resources

Shadlow¹,

Craig²,

Christiansen³

et al. 2018

ASEG Extended Abstracts

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SUMMARYA quantitative interpretation workflow utilising AVO inversion based lithology prediction data was developed to directly assess reserves and resources for an LNG development project in the Carnarvon Basin. The study area is covered by modern MAZ PSDM 3D seismic data using broadband acquisition and processing techniques, calibrated by numerous well intersections of the Triassic Mungaroo Formation reservoirs.Interpretation of the fluvio-deltaic reservoir bodies can be somewhat interpretive using 'traditional' workflows. By interpreting chronostratigraphic events tied to well-based biostratigraphy and then using the lithology prediction volumes, the interpretation of reservoir bodies becomes more objective.Seismic inversion data are typically used to qualitatively guide resource assessments, through amplitude mapping or use in static and dynamic modelling. In this case study, the inversion based prediction volumes are used to extract P90, P50 and P10 sand geobodies which are directly input into probabilistic reserve and resource assessments. The workflow is applied to discovered, developed, undeveloped and prospective reservoirs.Geobody extraction required the PSDM depth data to be accurately calibrated to wells. A calibrated velocity model was built by perturbing the imaging velocities in a 3D model to tie the chronostratigraphic events associated with all the reservoir intervals. Fluid contacts derived from wells were used to provide a depth cut-off to the geobody extractions.The resulting reserve and resource assessments from this workflow show an excellent match with previous assessments including static and dynamic modelling methods. The geobodies also identified previously unrecognised channel sands not easily interpreted on full and angle stack data.

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Seismic Quantitative Interpretation of a Gas Bearing Reservoir - From Rock Physics to Volumetric

Cited by 3 publications

References 4 publications

Upscaled rock-physics templates for seismic reservoir characterization in thin-sand reservoirs

Upscaled rock-physics templates for seismic reservoir characterization in thin-sand reservoirs

Multiattribute rotation scheme: A tool for reservoir property prediction from seismic inversion attributes

Quantitative Interpretation: Use of Seismic Inversion Data to Directly Estimate Hydrocarbon Reserves and Resources

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