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<p>Reduction of geological risks and non-productive costs</p>

Reduction of geological risks and non-productive costs

When solving tasks related to localization and extraction of high residual oil reserves, identifying missed deposits in complexly structured reservoirs using digital technologies

Goal

Increasing the efficiency of field development, late-stage development, involving undeveloped and poorly developed areas of the reservoir, reducing non-productive costs, increasing the profitability of development and performed GTM, drilling wells

Tasks
#1
Using AI for advanced geological assessment: determining actual heterogeneity and saturation of layers, reservoir structure without costly surveys
#2

Development of a 3D lithological-facial geological, geomechanical model of the layer with the identification and localization of bodies of various rock classes

#3
Identification of missed oil-saturated intervals of the layer, zones of residual easily and hard-to-recover oil reserves
#4
Planning of GTM, including BVS with the calculation of the optimal trajectory of the horizontal part, optimization of the development system, drilling processes with well placement

 

Advantages
#1
Complete geological information

A unique method for obtaining data continuously along the section exposed by the wellbore using automated interpretation technologies:

  • Structural-mineralogical model
  • Fluid model considering connate water
  • Filtration properties
  • Forecast profiles of inflow
  • Geomechanical properties
  • Pressures
#2
Innovative modeling of reservoir geology with high accuracy

Distribution using a neural network in the interwell space of structural-mineralogical properties and saturation of the well section for each cell of the model.

Implementation of a lithology cube according to the unique classification of the reservoir rocks. Automatic correlation and identification of bodies based on specified properties.

#3
Cost reduction and efficiency growth
  • The application of technology significantly reduces non-productive costs, increases the efficiency of GTM (up to 70%)
  • Forecast calculations of liquid/oil flow rate, water cut, including for exposure intervals
  • Training of specialists is carried out

Expert System (ESKS)

Unambiguous and comparable results for similar situations under high uncertainty
Definition of an extended set of parameters related to the geological properties of rocks

TAVS Methodology

Implements a patented algorithm based on the results of the authors' own research
The intellectual algorithm of the TAVS technology is based on generalized petrophysical models developed based on the study of the patterns of change in adsorption and filtration-capacity properties of rocks
TAVS Methodology

Approved by the EKS of the Ministry of Natural Resources

Included in the Technology and Software Library of the Ministry of Natural Resources

Unique Russian technologies ESKS in Gintel software surpass foreign analogues!

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