DrillPredictor™ includes a new technology that uses standard surface drilling data to compute, in real time, the Corrected Mechanical Specific Energy (CMSE) which accounts for frictional losses along the wellbore. FracGeo’s CMSE is used to compute pore pressure, stresses, natural fractures, and geomechanical logs along the wellbore. These logs are then used in FracGeo’s GMXsteering™ technology to update 3D geomechanical models in real time to steer the well into the most fracable rock. Immediately after drilling is completed, DrillPredictor™ provides an optimal completion strategy with adaptive frac stage spacing and cluster design that accounts for the heterogeneous nature of the computed stress and geomechanical properties along the wellbore.
• Cloud based web application that enables FracGeo’s GMXsteering™ technology available on any drilling rig through the use of FracGeo’s partner, RigMinder© data streaming services.
• Corrected Mechanical Specific Energy (CMSE) that accounts for frictional losses in real time.
• Estimates in real time, or after drilling is completed, the pore pressure, geomechanical logs, natural fracture index and the stress brittleness.
• Provides at the end of drilling the optimal frac stage spacing and cluster density based on stress brittleness, Shmin, or CMSE.
• Exports the derived completion design to StimPredictor™ to design the frac treatment.
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, Brittleness, and fracture density from conventional logs. Sub-modules for rock type classification, upscaled logs in a 3D Geocellular grid, and vertical variogram modeling are also available.
• Well correlations: Displays and edits logs and 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.
• Estimation of natural fracture proxies derived from conventional logs.
• Interactive estimation of TOC.
• Interactive estimation of water saturation.
SeisPredictor™ Module uses imported seismic data to compute attributes derived from spectral decomposition, volumetric curvature, coloured inversion, and lithology constrained extended elastic inversion.
• Uses well ties to create time depth relationships
• Generates seismic volumetric curvature attributes which serve as enhanced fault indicators.
• Computes multiple spectral attributes which are hydrocarbon indicators and facies differentiators.
• Provides relative and absolute coloured inversion that enhances seismic resolution.
• Provides fast stochastic-geostatisitical inversions that honor structural complexity.
• Provides lithology constrained prestack extended elastic inversion to estimate geomechanical properties and britleness in 3D.
MapPredictor™ uses limited 2D well data to create geologic maps and 2D grids of key properties such as curvature, distance to faults, average reservoir porosity, and brittleness which can be correlated to EUR and other well performance proxies over large areas. Many interpolation methods are available: deterministic, stochastic and neural network for 2D modeling. Utilities for contouring a faulted surface in a map window, fault polygon editing, horizontal variogram, and anisotropy modeling are available.
• Creates surface or 2D grid from available point sets or well tops.
• Supports fault polygon constraint, well adjustment, deterministic and stochastic interpolation methods. (geostatistics and neural networks).
• Interpolates available reservoir properties in a created 2D grid.
• Correlates multiple reservoir property maps with available EUR or a production indicator for sweet spot identification using neural networks.
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.
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.
A new Geomechanical technology based on the Material Point Method (MPM), is able to simulate 1) the initial heterogeneous reservoir stress magnitude and orientation resulting from the interaction between regional stress and natural fractures, and 2) the interaction between hydraulic fractures and natural fractures during stimulation. This unique technology opens new doors to derive a better understanding of the frac stage performance. This provides the ability to create completion optimization workflows. Unlike other geomechanical tools, GMXPredictor’s simulated strain predicts the main features of the microseismicity--confirming the validity of the input data (continuous natural fracture models) and the continuum mechanics approach used to simulate the interaction between the hydraulic and natural fractures responsible for the shearing observed in the microseismicity.
• Provides the horizontal differential stress that could be used to identify areas where the fracing treatment needs to be changed or stages to be refraced.
• Provides local stress rotations and the direction of propagation of a hydraulic fracture at each stage.
• Simulates the hydraulic fracturing process and provides the strain which is a good proxy for the stimulated reservoir volume, or microseismicity. The strain is used to estimate the geomechanical half lengths which are used as constraints in frac design.
• Accounts for pressure depletion using poroelaticity to model frac hits.
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.
An asymmetric analytical frac design was developed and implemented in StimPredictor™. The unique workflow uses the geomechanical half-lengths derived in GMXPredictor™ as a constraint that captures the stress gradients that control the asymmetric hydraulic fracture propagation. Experimental design and sensitivity analysis provide tornado plots which explain why certain frac stages do or do not perform well, allowing the frac engineer to identify what frac parameter(s) they need to change to adapt the frac stage treatment to the stress gradients reducing hydraulic fracture growth.
• Unique asymmetric analytical frac design constrained by geomechanical half lengths that captures stress gradients causing the asymmetric behavior.
• Experimental design for sensitivity analysis allows the identification of frac parameters causing shorter wings.
• Proppant distribution with and without gravity settling effects.
• Export to reservoir simulators and other frac design software
A new analytical production forecast was developed and implemented in ProdPredictor™. The module 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.
Uses the derived predicted production profiles to make economical projections. Provides the usual economical indicators for a well.