The most widespread source for subsurface data is 2-D and, increasingly, 3-D seismic. Data related to boreholes - such as well logs and rock samples - provide crucial complementary and calibration parameters.
In the past, and even today, the prevailing approach in the interpretation of these subsurface data is static. This means that great efforts are made to describe subsurface structures and property distributions in their present state.
However, understanding and modeling past geological processes that were responsible for the present status of the subsurface has so far not been sufficiently emphasized.
In petroleum exploration and production it is an essential requirement to understand these past geological processes - especially petroleum generation and migration - which determine whether or not a trap contains hydrocarbons. Hence, it is crucial to understand the dynamics of relevant processes responsible for the present day geological conditions.
As modeling of geological processes relies entirely on a subsurface database and related, intelligently structured data archives (often called data models), it is essential that the numerical simulation is linked as closely as possible to these data sources.
This is easily achieved by direct binary access to seismic data and interpretation tools like OpenWorks, GeoFrame, SeisWorks, IESX, etc. It is common practice to organize and store subsurface data in more or less sophisticated data archives that can be screened and manipulated electronically.
An electronic data archive enables information to be exchanged, reviewed, and thereby enriched and updated. Even the most refined interpretation utilizing advanced interpretation software and databases, however, produces static information for stratal terminations, seismic facies, lithofacies and property distributions, etc.
Such static data archives can be brought to life - and at the same time generate a great deal of added value - by dynamically modeling the geological processes behind it.
Sedimentological modeling and reservoir characterization:
Petroleum reservoir engineers use a variety of computer-generated statistical modelling techniques to generate the large number of facies models (realisations) required to assess the uncertainty in their understanding of reservoir heterogeneity.
However, the resulting models are often not geologically realistic. More recently, methods such as marked point processes and models based on training images have been developed in order to incorporate geological patterns into facies models.
These methods are not always good at reproducing the complex shapes of channel fill bodies and the correct spatial relationships between the various sedimentological entities.
Furthermore, they tend to be computationally intensive as they are grid-based.
Here are many reasons why you should be doing routine fault seal analysis:
In includes the physical and chemical properties of rocks, soils and fluids. These properties describe the occurrence and behavior of these elements.
It is a subfield of geophysics. The properties that geophysicists study are porosity, density, magnetization, electrical conductivity, solid mechanics, thermal conductivity and radioactivity.
Volumertics, Risking and ranking:
Structural Modeling is unique combination of structural and tectonic modeling with applied petroleum geological problems.
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We integrate structural and tectonic modeling, petroleum geology applications to produce valuable resource data for advanced structural and tectonic modeling and geological and geophysical in the petroleum industry.
We can do a full spectrum of geophysical interpretations, including 2D and 3D interpretation, a full set of complex volume and surface attributes including ant tracking for the identification of faults and fractures, volume interpretation (geobody detection) with seismic crossplotting and classification, domain conversion, and the modeling-while-interpreting functionality, which enables interpreters to build a structural framework while doing their interpretation.
We can do the needs of successful oil and gas companies with a range of gravity and magnetic mapping, modeling and interpretation solutions.
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