RESERVOIR CHARACTERIZATION

Correlation of Geomechanical, Mineralogical and Petrophysical Lab Test

A correlation of all existing lab test is carried out with the geomechanical properties in cuttings, cores and/or plugs to clarify the relation between the key physical parameters of the rock and their impact on drilling, completion and production. This information is crucial in drilling and completion optimization to enhance production of the wells.

 

Geological Correlation

This is the incorporation of the cuttings and core information, masterlog and mudlog in reservoir characterization. It is possible to reconstruct the lithologic well column in absence of core, based exclusively on cuttings information using artificial intelligence. It has even been carried out by the comparison of in the reconstruction of the stratigraphic column of the closest well when we have core description and cutting information simultaneously.  This characterization will be used for:

1) Definig the petrophysics, geological and geomechanics patterns.
2) Identification of interesting intervals with oil and gas, and problematic ones. 
3) Optimize the productivity of the well. 
4) Optimize well drilling and completion.
5) To characterize intervals where core information and logs are not available.

 

Petrophysical Correlation, determination of key parameters for exploration, production and completion.

Generation of a petrophysical model integrated to the geologic and sedimentary characteristics and the production behavior, It would consider the heterogeneity and complexity of the static model, identification of new opportunities in the field and most prospective intervals.  

This stage would consist on the following phases:

1. Review of the available information, logs, core, sedimentology, laboratory tests, among others.  
2. Characterization of the petrophysical parameters.
3. Mineralogic and Water Saturation Model and the final cuts for Net Pay determination (ANP). 
4. Porosity and Permeability models using algorithms of artificial intelligence based on core information. 
5. Pore Throat Estimation: Analysis of Pore Throat Radius (Petrofacies) and key petrophysical properties using Artificial Neural Network, to identify where are the intervals of the highest radius (best reservoir intervals quality). 
6. Identification of prospective intervals for completions based on petrophysical properties, pore throat radios and facies.

 

Cutting/Core Lab Data and Well Logs Correlation Model via Electrofacies Analysis

It’s a methodology of integration suitable when there is limited information from the reservoirs. 
The methodology increases the earth model resolution because it connects in deterministic way information from different sources and scales: geology, sedimentology, drilling, well test, petrophysics and geomechanics with well logs, cores and cuttings.

The electrofacies will allow the following: 

1. To gather complex and critical characteristic and properties of the reservoir, to establish vertical and horizontal reservoir control, based on geological, geophysical and sedimentological information.
2. To reconstruct sections without core, or where only cuttings are available, at the same time that it allows to the geologists to do interpretations in a sequence scale, to allow reconstructing the complete geological column for exploration and production wells. 
3. More exact correlations can be made with near by wells. 
4. To obtain quick answers for new wells (wells to complete), once established the pattern of sedimentary facies, electrofacies, core and cuttings.  
5. To identify zones with best characteristics in the reservoir to be input in any simulation or modeling program.

Generation of Synthetic Calibrated Well Logs from the Correlation Model

Generation of synthetic conventional logs properties coherent with geological, sedimentological, geomechanical and petrophysical information based on electrofacies analysis. For EXPLORATION wells the methodology has advantages where there is not enough information, conventional and/or special logs. GeoTechnologyLA intends to maximize the available information generating synthetic logs after correlating cuttings mechanical properties and well logs via artificial intelligence such as Sonic and Density logs for the Seismic calibration, Gamma Ray, Magnetic Resonance, Images (Acoustic and Resistivity), Spectral Gamma Rays, Saturation, Bipolar Sonic, among others.