A Well Log Identification Method of Complex Carbonate Reservoir Lithotypes and Lithofacies: A Case Study on Formation Unit B in K Oil Field, Caspian Basin, Kazakhstan

2016 ◽  
Author(s):  
Lin Yaping ◽  
Zhao Liangdong ◽  
Tan Liyong ◽  
Yao Jiangyuan ◽  
Luo Man ◽  
...  
Keyword(s):  
Carbonate Reservoir ◽  
Oil Field ◽  
Caspian Basin ◽  
Well Log ◽  
Identification Method

First microseismic monitoring results for a Middle East carbonate reservoir: Minagish oil field case study, western Kuwait

2008 ◽  
Author(s):  
Emmanuel Gaucher ◽  
Christophe C. Maisons ◽  
Abdullatif Y. Al-Kandari ◽  
Kamal Al-Atroshi and Jassim M. Al-Kanderi
Keyword(s):  
Middle East ◽  
Microseismic Monitoring ◽  
Carbonate Reservoir ◽  
Oil Field ◽  
Field Case

Prediction of a fracture-cavern system in a carbonate reservoir: A case study from Tahe oil field, China

2006 ◽  
Vol 25 (11) ◽  
pp. 1396-1400 ◽  
Author(s):  
Luping Guan ◽  
Shixing Wang ◽  
Hailong Zhu
Keyword(s):  
Carbonate Reservoir ◽  
Oil Field ◽  
Tahe Oil Field

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

2018 ◽  
Vol 6 (3) ◽  
pp. SG33-SG39 ◽  
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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