• Accurate Identification of Remaining Reserves: Integrated models enable accurate identification of remaining reserves in mature fields, maximizing production by focusing on high-potential areas.
• Recovery Strategy Optimization: Dynamic simulation facilitates the design of enhanced recovery strategies, such as water or gas injection, which can significantly increase hydrocarbon extraction.
• Reduced Operating Costs: By providing a detailed understanding of the reservoir, more efficient drilling and production operations can be planned, reducing costs and minimizing operational risks.
• Increased Drilling Success Rate: Modeling expertise improves the success rate of new wells by providing accurate guidance on the optimal location to drill.
• Field Life Extension: Accurate models help plan and execute maintenance and revitalization programs that extend the life of mature fields.
• Rapid Adaptation to Reservoir Changes: Dynamic models enable rapid adjustments to production operations in response to unexpected changes in reservoir pressure or saturation.
• Maximizing Production in the Shortest Time: The integration of geological, geophysical and engineering data allows the development of production strategies that optimize the flow of hydrocarbons in the shortest possible time.
• Minimizing Environmental Impacts: With a detailed understanding of the deposit, more sustainable production practices can be implemented that minimize environmental impact.
• More Confident Risk Assessment: Integrated studies provide a more reliable risk assessment, enabling informed decisions to mitigate operational and financial risks.
• Increased Profitability: By maximizing production and reducing costs, experience in integrated models improves the overall profitability of the operation in mature fields.

• Bayesian Sequential Gaussian Simulation.
• Own Seismic Pre-stack Inversion Process and Optimization.
• Stochastic Seismic Inversion with and without well and facies constraints.
• integration of 3D seismic data and production data.
• Conventional stratigraphic meshing techniques.
• Directional Pyramid Seismic Processing.
• Seismic visualization.

• Configurable well correlation models.
• Creation and editing of well formation stops.
• Interactive plotting of horizons along markers.
• Automatic extraction of well stops.
• Forward Modeling Technology.
• Calculation and creation of logs.

• 2D maps and volumetry
• Surface attribute generation
• Integrated approach to quality control of the geological model, production data analysis and production history adjustment.
• Bayesian Sequential Gaussian Simulation
• Data analysis and visualization

• Petrophysical Modeling.
• Original Volume on Site.
• Impact assessment of failure uncertainties.
• Data analysis, Variogram analysis
• Log upscaling
• Stochastic Seismic Inversion.
• Bayesian Sequential Gaussian Simulation

• Clustering of seismic attributes.
• Using computer-assisted learning.
• Python Script Generation (Panda, Numpy, and Scikit-Learn)
• Machine learning algorithms MLAs
• Forward modelling technology
• Neural Networks.

• Simple grid.
• Vertex point geometry.
• Direct visualization of sections of 2D models (or geological maps) using matplotlib.
• Using Open Source Library Script GemPy based on Python.
• Entire fault networks (faults affecting faults)

The iLoop+ integrated reservoir characterization platform features a wealth of innovative technologies that enable reservoir characterization models to be obtained that are closer to the reality of the reservoirs.