Computes pore pressure, stresses, geomechanical logs and natural fracture proxies from wireline logs. Interactive TOC estimation and petrophysics to compute shale content, porosity and water saturation. Multivariate regression and Artificial Intelligence tools to estimate missing logs.

LogPredictor™ displays, for Quality Control (QC) and interpretation, log data in a user-friendly log window. The module uses different methods to predict along the wellbore properties such as TOC, Geomechanical logs, Brittleness, Pore Pressure, stresses and fracture density from conventional logs.

• Well correlations: Displays, picks and edits well tops
• Facies classification: Generates rock types using K-means classification or a self-organizing method
• Log prediction: Generates new synthetic logs from existing data using powerful neural networks or linear multi-regression analysis when physical data is unavailable
• Generates blocked logs from a 3D grid using different available methods for continuous or discrete logs
• Vertical variogram modeling using blocked or original logs, with or without facies constraint
• Pore pressure and stress profile calculations along wellbores and in 3D volumes derived from wireline logs
• Estimation of natural fracture proxies derived from conventional logs
• Petrophysics and Interactive estimation of TOC, volume of shale, porosity, and water saturation

StratPredictor™ uses structural horizons and faults to build water tight structural frameworks that lead to structured 3D geocellular grids with vertical columns.

• Uses a state-of-the-art structural framework builder able to handle a large number of reverse, normal and any other type of faults
• Creates structured 3D geocellular grids from structural frameworks
• Builds simple 3D grids from 2D grids
• Upscales fine 3D grids to coarser 3D grids
• Snaps 3D properties from one 3D grid to another using multiple upscaling and downscaling methods
• Builds automatically a grid around a cloud of microseismic data
• Builds automatically a custom grid around a horizontal for StimPredictor™ input data

RockPredictor™ uses a 3D geocellular grid, seismic attributes and well data to propagate in 3-Dimensions, key rock properties such as facies, TOC, brittleness, porosity and natural fracture density. Multiple available methods (deterministic, stochastic and advanced neural network) that integrate all the available log and seismic attributes data are available.

• Facies analysis by combining different seismic attributes through pattern recognition algorithms
• Propagates continuous rock properties using upscaled well logs in the 3D grid volume using multiple available algorithms
• Geostatistics for Facies Modeling: Deterministic Indicator Kriging and Stochastic Sequential Indicator simulation with option for collocated Co-simulation
• Geostatistics for Petrophysical modeling: Deterministic Kriging (simple and ordinary) and Stochastic Sequential Gaussian Simulation, conditioned to Facies models and option for Collocated Co-simulation
• 3D neural network: combines all available seismic attributes and well data to capture the complex relationship with the target log

SRVPredictor™ provides the ability to estimate SRV based on the geomechanical results. If microseismic data is available the module allows the estimation of various microseismic volumes

• Provides automatic estimation of the geomechanical half-lengths
• Provides ability to interpret manually the SRV region from the geomechnical strain results

ProdPredictor™ uses an asymmetric tri-linear model that provides a mechanistic model to represent the production from the unconventional wells. The new tri-linear model is as fast as a simplistic Decline Curve Analysis, yet it provides a reliable and realistic estimate of the EUR which honors the complex asymmetric nature of the SRV in unconventional wells. Initial reservoir parameters are estimated with Unconventional Rate Analysis tools. Automatic history matching of pressure or rate provides the EUR and key average rock properties. Pressure depletion can be simulated with a Fast Marching Method that uses as input the previously derived fracture geometry and the 3D models of the effective medium. A PVT analysis tool is included to handle all possible phases and a BHP analysis tool allows the estimation of Bottom Hole Pressure when Tubing Wellhead Pressure is available.

• Decline curve analysis (many methods some of them not available in commercial software)
• Unique asymmetric tri-linear model able to predict EUR by matching rate or pressure
• Bottom hole pressure estimation module using tubing wellhead pressure
• PVT analysis tools provides the necessary correlations to handle different phases
• Sensitivity analysis allows the identification of key frac parameters affecting EUR
• Pressure depletion using Fast Marching Method simulation
• DFIT analysis tools
• Interactive Unconventional Rate Analysis tools to estimate key frac geometry parameters such as average half length and average SRV permeability
• PVT analysis tools using common industry correlations