• Contacts

  • 1

    Send us a message 1@teics.com or call us +7 (347) 224-25-77

  • 2

    We will organize data transmission and we

    will sign a confidentiality agreement.

     

  • 3

    Implement measures recommended by

    Teics and achieve additional oil production!

Prepare input data for calculations Monthly data for production/injection Daily data for production/injection Geophysical logging data Flow tests data Machine learning algorithms Re-confirmation of input data – filtration and reduction of error Increase in accuracy of modeling and subsequent calculations
Optimize reservoir capacity Maximization of the required target function: - liquid production, - oil production, - NPV Involvement of data about process limitations for liquid production and water injection, technical status of wells to generate a program of the most effective measures Calculation for time periods. Selection of optimal parameters for wells operation during each period Control of bottom hole pressures in producers and volume of water injected in injectors
Upload data about the field Data about wells: - coordinates of layer intersection, wellheads; - well trajectory; - well log interpretation data; - flow tests results; - perforation intervals; - process modes and monthly production reports for the whole history; - history of well intervention techniques. Data about reservoirs: - geological and physical characteristics of a reservoir; - PVT properties, relative permeabilities; - maps of initial oil-saturated layers, porosity, permeability, saturation, structural maps; - coordinates of contours. Formats of data loading into "Teics One": xls (xlsx), csv. It is possible to connect to already used database.
Predict future capacity of wells Forecast of operating parameters (oil, water, saturation, pressure) with low deviation from actual data: - short-term forecast for 1-5 years; - long-term forecast for 5-10 years and more Determination of potential production , detection of ineffective operating modes, prevention of possible anomalies and production losses Regular prompt update of the model, update of short-term and long-term plans Forecast scenarios: 1 Base production 2 + Well interventions for base well stock 3 + Well interventions for extra oil production 4 + Drilling of new wells and sidetracking
Specify petrophysical properties and residual oil reserves /> /> /> Displacement front-tracking in each interwell connection at all time steps Determination of interwell transmissibility at each time step determination of fractures caused by hydraulic fracturing Calculation and generation of maps for residual oil reserves and reservoir pressures Generating of flow paths at each time step in the past and in the future
Predict efficiency of well interventions with very high accuracy Determination of the best development scenarios (hydraulic fracturing, drilling of side tracks ) for areas with residual oil reserves Determination of wells with a positive skin factor for bottom hole treatment Forecast of additional oil production and changes in flow paths after conformance control Determination of wells for additional perforations and transfer to other oil layer group Building and history matching of physics-based INSIM+ML model Machine learning of mathematical models using history of well interventions Calculation of scenarios for various well intervention programs Comparison of variants for additional oil production and other key metrics
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