Mitigation Of Drilling Risk Using Controlled Source Electromagnetic Surveys: Csem Workflow And Case Study

2009 ◽  
Author(s):  
Lars Lorenz ◽  
A. Muralikrishna ◽  
Anil Kumar Tyagi ◽  
Rabi Bastia ◽  
Hans E. F. Amundsen
Keyword(s):  
Controlled Source ◽  
Electromagnetic Surveys

Comparison between Different Apparent Resistivity Definitions of CSAMT

2019 ◽  
Vol 24 (1) ◽  
pp. 119-127 ◽  
Author(s):  
Dongyang Hou ◽  
Guoqiang Xue ◽  
Nannan Zhou ◽  
Yiming He ◽  
Wen Chen
Keyword(s):  
Magnetic Field ◽  
Apparent Resistivity ◽  
Field Component ◽  
Single Component ◽  
Alternative Methods ◽  
Theoretical Formula ◽  
Controlled Source ◽  
Resistivity Method ◽  
Calculation Results

Controlled source audio-frequency magnetotelluric (CSAMT) is typically used to obtain data regarding Cagniard resistivity by calculating the ratio between the electric field and magnetic field. However, noise conditions tend to provide different influences on the electrical and magnetic field component data. Therefore, it has become necessary to develop alternative methods to define apparent resistivity using suitable component data. In addition to the traditional Cagniard resistivity, the conventional single-component and modified single-component apparent resistivity methods have been proposed. In this research we discuss those three different apparent resistivity definitions from the aspects of theoretical formula, applicability, and calculation results of a synthetic model. We find that the modified single-component apparent resistivity method can be successfully used to achieve higher data quality nearer the source, thereby improving the exploration precision. Finally, a case study is conducted to verify our results, which show that the modified apparent resistivity method has the ability to effectively reflect the geoelectric profiling information.

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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