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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:

  • 3D environmental interpretation of depositional sequences



  • Sedimentological interpretation of well logs (patterns and diagenesis)


  • 3D Stochastic modeling
  • Flow unit determination


  • Facies modeling

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.




  • Integration of petrography with core description and well log data



  • Standard thin section preparation
  • Detailed core description
  • Petrographic lithology description
  • Ditch cuttings, side wall cores and rock samples
  • X- ray diffraction (XRD)




  • Semi-quantitative estimate of major elements
  • Qualitative clay mineralogy
  • Scanning electron microscope analysis (SEM)and electron microprobe and Cathodoluminescence





Faults control:

  1.  Whether there is or is not hydrocarbon in a trap.
  2.  How much hydrocarbons.
  3.  How these hydrocarbons are distributed:
    • Vertically among a series of stacked sands.
    • Distributed within single sand among a series of fault compartments.

Here are many reasons why you should be doing routine fault seal analysis:

  1. Dry Holes (Leaking faults can bleed a trap dry). Dry Holes (Faults can create empty reservoirs & empty compartments within the producing field). Dry Holes (Sealing faults can keep a trap from being charged). Dry Holes (Faults can channel migrating hydrocarbons away from your prospect)
  2. Limited Reserves (Fault dependent spill points can limit hydrocarbon columns to less than expected.  In addition, column heights are limited by gouge composition, fault displacement, and structural style). Limited Reserves (Faults can restrict hydrocarbons to only a few of the many potential reservoir intervals)
  3. Compartmentalization (Faults control the degree of communication between fault compartments)
  4. New Plays (Purely fault dependent traps with no structurally independent closure are common AND they're more common in some areas than others)
  5. New Prospects (Hydrocarbons may be trapped along faults down-dip of dry holes). New Prospects (Hydrocarbons may be trapped along faults down-dip of known accumulations & they may be larger columns)
  6. Field Unitization (Are you giving away reserves in a highly fault-compartmentalized field)
  7. Residual Reserves (A fault that is partially sealing may trap residual reserves that remain after hydrocarbons are produced from the leaking segments).
  • High resolution 3D structural model
  • Detailed facies model 
  • Petrophysical analysis




  • Smear Gouge Analysis
  • Clay Smear Potential
  • Smear Gouge Ratio
  • Shale Gouge Ratio
  • Smear Factor


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.

  1. Stochastic Modeling
  2. Deterministic modeling


  3. Property Calculator


  4. Calculation of Sw (Water Saturation)
  5. Histogram and Filter Functionality

Volumertics, Risking and ranking:

  1. Play and prospect analysis
  2. Complex trap Volumertics
  3. Detailed geological risking
  4. Geostatistics and Heterogeneity Modeling
  5. 3-D  Geocelular Static Model



  6. Geocelular Static /Dynamic Model
  7. Geostatistical model and uncertainty analysis

  8. Prospect ranking
  9. Lead upgrade to prospectProbabilistic risk analysis
  10. Economic threshold



  1. Regional geologic studies
  2. Trend analysis

  3. Field geology and mapping
  4. Integrated structural correlations



  5. Integrated stratigraphic correlation and stratigraphic modeling




  6. Geologic maps construction
    (Structure, Porosity, Permeability, Facies, net/gross, …..)
  7. Detailed log correlation


  8. Gridding models and maps
    • Porosity maps
    • Facies model

    • Permeability model
    • Water saturation model

  9. Reservoir characterization



  10. From A to Z  3D Static geological modeling

Structural Modeling is unique combination of structural and tectonic modeling with applied petroleum geological problems.

Focusing on analysis covering all scales - from development of sedimentary basins, to formation of fractures and joints on a microscale - and from exploration, to the exploitation of hydrocarbons

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.

  1. Integration of outcrop and seismic data
  2. Gravity and seismic trends
  3. Structural trap styles
  4. Structures and facies distribution
  5. Structures and migration pathways
  6. 3D structural modeling
  7. High resolution fault modeling
  8. Fracture modeling
  9. Building  geo-seismic cross sections



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.

  1. Mistie analysis and correlation


  2. 2D to 3D seismic tie
  3. Synthetic well tie
  4. Velocity analysis
  5. Time horizon interpretation
  6. Stratigraphic amplitude analysis
  7. Time depth conversion and analysis

We can do the needs of successful oil and gas companies with a range of gravity and magnetic mapping, modeling and interpretation solutions.

These global industry standard solutions help oil and gas companies improve their potential for successful discoveries, reduce risks and keep costs down.

  1. Discover what Oil & Gas customers.
  2. Discover the advantages of exploring.
  3. Attend our free webinar to discover how you can integrate gravity and magnetic data into your geophysical portfolio.
  • Facies and lithology calibration
  • Separation of regional and residual anomalies
  • Isolation of potential field anomalies
  • Isolation of gravity anomalies


  1. Bouguer gravity
  2. Low-pass gravity
  3. High-pass gravity
  4. Band-pass gravity




  • Isolation of magnetic anomalies
    1. Regional RTP/RTE magnetic
    2. Residual RTP/RTE magnetic
    3. Band-pass RTP/RTE magnetic
    4. First vertical derivative magnetic

  • Integration of 2D/3D seismic and gravity

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