GeoTechnologyLA is a leader technological company that pursues the following aspects in the oil and gas industry: 

1. Universality of the result’s format.

GeoTechnologyLA guarantees the results format given to the client is compatible with all the existent platforms in the market, Landmark, Geoquest, Paradigm, CMG, among others. At the same time guarantees the technological transfer of the product, so the client fully understands and uses to best convenience the results. 

2. Characterization and integration of the key reservoir parameters and variables.

Key reservoir parameters are characterized by GeoTechnologyLA particularly those related to the storage and flow capability, diagenesis, geomechanical behavior, seismic pattern, rock-fluid interaction, allowing reservoir, production and drilling engineers to  solve complex problematic of drilling, completion and production operations. 

3. GeoTechnologyLA concentrates efforts not only on the identification

of best reservoir areas, but also studying the key variables from the reservoir that control production optimization, reduce drilling time and minimize risk. GeoTechnologyLA can approach a variety of reservoir and production problems.

4. GeoTechnologyLA offers a robust up scaling methodology for reservoir characterization.

All the calculations and estimation are carried out using measured properties from plugs, drill cuttings and continuous measurements in cores, well logs and then artificial intelligence to correlate all available information. Then a 3D volume is built using seismic data in order to recognize patterns associated to other scales from geology and sedimenthology, using computational solutions like learning machines and artificial intelligent algorithms.

5. GeoTechnologyLA generates a deterministic model of high resolution.

This model correlates coherently core and well information and as well as the tendencies of the geological, petrophysical, and geomechanical information, and sedimentary patterns. This improves the results compared with those models based on geostatistical simulation.