Reservoir characterization from joint inversion of marine CSEM and seismic AVA data using Genetic Algorithms: a case study based on the Luva gas field

Seismic reservoir characterization of a deep water sandstone reservoir using hydraulic and electrical flow units: A case study from the Shah Deniz gas field, the South Caspian Sea

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2014.04.002 ◽

2014 ◽

Vol 118 ◽

pp. 52-60 ◽

Cited By ~ 8

Author(s):

Saeed Yarmohammadi ◽

Ali Kadkhodaie-Ilkhchi ◽

Hossain Rahimpour-Bonab ◽

Ahmad Shirzadi

Keyword(s):

Deep Water ◽

Caspian Sea ◽

Reservoir Characterization ◽

The South ◽

Gas Field ◽

Flow Units ◽

Seismic Reservoir ◽

Sandstone Reservoir

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A new petrophysical joint inversion workflow: Advancing on reservoir’s characterization challenges

Interpretation ◽

10.1190/int-2017-0225.1 ◽

2018 ◽

Vol 6 (3) ◽

pp. SG33-SG39 ◽

Cited By ~ 4

Author(s):

Fabio Miotti ◽

Andrea Zerilli ◽

Paulo T. L. Menezes ◽

João L. S. Crepaldi ◽

Adriano R. Viana

Keyword(s):

Reservoir Characterization ◽

Joint Inversion ◽

Oil Field ◽

Well Log ◽

Complementary Information ◽

Reservoir Properties ◽

Reservoir Rocks ◽

Controlled Source ◽

Fluid Properties

Reservoir characterization objectives are to understand the reservoir rocks and fluids through accurate measurements to help asset teams develop optimal production decisions. Within this framework, we develop a new workflow to perform petrophysical joint inversion (PJI) of seismic and controlled-source electromagnetic (CSEM) data to resolve for reservoirs properties. Our workflow uses the complementary information contained in seismic, CSEM, and well-log data to improve the reservoir’s description drastically. The advent of CSEM, measuring resistivity, brought the possibility of integrating multiphysics data within the characterization workflow, and it has the potential to significantly enhance the accuracy at which reservoir properties and saturation, in particular, can be determined. We determine the power of PJI in the retrieval of reservoir parameters through a case study, based on a deepwater oil field offshore Brazil in the Sergipe-Alagoas Basin, to augment the certainty with which reservoir lithology and fluid properties are constrained.

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Incorporation of Sequence Stratigraphy in Gas Reservoir Correlation: A Case Study

Journal of the Asiatic Society of Bangladesh Science ◽

10.3329/jasbs.v45i2.46594 ◽

2019 ◽

Vol 45 (2) ◽

pp. 209-216

Author(s):

Afroza Parvin ◽

ASM Woobaidullah

Keyword(s):

Sequence Stratigraphy ◽

Reservoir Characterization ◽

Gamma Ray ◽

Stratigraphic Correlation ◽

Gas Field ◽

Sequence Stratigraphic ◽

Neutron Porosity ◽

Wireline Logs ◽

Surma Basin

The application of sequence stratigraphy to resolve the miscorrelation between different genetic units in reservoir characterization in a gas field of Surma Basin is dealt with. Interpretation of available seismic and wireline logs (gamma ray, resistivity, density and neutron porosity) give the sequence stratigraphic correlation of reservoir sands. The reservoirs geometry, its extent, seal architecture and trapping styles have been revealed better with this correlation. There is juxtaposition of two reservoir sands, namely A1 and A2. A1 is located at older highstand sand, whereas A2 is in the younger lowstand sand. Lithostratigraphically they might be same but sequences stratigraphy reveals that they are different and deposited at different times. Moreover, the concept reveals that lowstand sand has better reservoir quality than any highstand and transgressive sand. Asiat. Soc. Bangladesh, Sci. 45(2): 209-216, December 2019

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