Interpretation of High Resolution Electromagnetic data
The principal strength of EM data is that they provide new information on subsurface geology independently from the seismic Operations, although at significantly lower resolution.
Seismic imaging techniques can readily detect potential hydrocarbon (HC) traps but discriminating between the presence of water or hydrocarbons in such traps has remained a challenge.
Detection of subsurface hydrocarbons by an electromagnetic (EM) sounding application has recently shown very promising results. Subsequent pre-drill prediction success rates are reported to be generally very favorable throughout the industry.
Although EM Operations was seen initially as a “yes/no” technique for indicating hydrocarbon presence in targets previously identified by seismic data, High Resolution EM Operationss are sufficiently flexible that they can be applied to a larger set of geological problems. These problems range from detecting gas hydrates to mapping facies and structure where seismic and other geoscience information may be inadequate to provide definitive answers.
We have developed an commercial technology to provides solutions for the integrated interpretation and inversion of EM data. An inversion algorithms are optimized for resolving main limitations of EM Operationss. They are capable to incorporate various types of available G&G data and the reservoir features into the EM inversions. As a result the low resolution of EM data is reduced and provide more reliable detection of hydrocarbons.