How to Use Hampson Russell Software for Reservoir Characterization
How to Use Hampson Russell Software for Reservoir Characterization
Hampson Russell Software is a comprehensive suite of reservoir characterization tools that integrates well logs, seismic data and geophysical processes into an easily navigated, intuitive package. It is known for its ease of use and powerful speed improvements for processing projects. In this article, we will show you how to import data, perform AVO analysis and use GeoAI module for machine learning based predictions.
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Importing Data
To import well data and seismic cube using Hampson Russell Software, you need to follow these steps:
Open the Geoview interface and create a new project.
Go to File > Import > Well Data and select the file format of your well data. You can choose from LAS, ASCII, DLIS or other formats.
Browse to the location of your well data file and click Open. You can also select multiple files at once.
A dialog box will appear where you can specify the well name, location, depth units and curve names. You can also edit the curve properties and display options.
Click OK to import the well data into your project.
To import seismic cube, go to File > Import > Seismic Data and select the file format of your seismic data. You can choose from SEG-Y, SEGD or other formats.
Browse to the location of your seismic data file and click Open.
A dialog box will appear where you can specify the seismic name, survey geometry, sample rate, trace header bytes and other parameters.
Click OK to import the seismic data into your project.
Performing AVO Analysis
AVO analysis is a technique for identifying amplitude variations with offset or angle of incidence in pre-stack seismic data. It can help to locate hydrocarbon-bearing zones and estimate rock properties. To perform AVO analysis using Hampson Russell Software, you need to follow these steps:
Select the seismic cube that you want to analyze and go to Process > AVO Analysis.
A dialog box will appear where you can choose the AVO method, such as Shuey, Fatti or Smith-Gidlow.
You can also adjust the parameters such as fluid replacement model, background velocities, angle range and output options.
Click Run to start the AVO analysis. The software will generate AVO attribute volumes such as intercept, gradient, fluid factor and Poisson's ratio.
You can view the AVO attribute volumes in the Geoview interface and cross-plot them with well logs or other attributes.
You can also use the AVO modeling tools to create synthetic gathers and compare them with real data.
Using GeoAI Module
GeoAI module is a novel feature of Hampson Russell Software that uses machine learning techniques to predict reservoir properties and facies from seismic data. It uses rock physics theory and statistical simulations to generate synthetic data for various geological scenarios. It then employs convolutional neural networks (CNN) to estimate multiple rock property volumes in a greatly simplified workflow. To use GeoAI module using Hampson Russell Software, you need to follow these steps:
Select the seismic cube that you want to analyze and go to Process > GeoAI.
A dialog box will appear where you can choose the rock properties or facies that you want to predict, such as porosity, permeability, lithology or fluid content.
You can also adjust the parameters such as rock physics model, synthetic data generation method, neural network architecture and training options.
Click Run to start the GeoAI analysis. The software will generate synthetic data based on your input parameters and train a neural network using them.
The software will then apply the trained neural network to your real seismic data and generate rock property or facies volumes.
You can view the predicted volumes in the Geoview interface and compare them with well logs or other attributes.
We hope this article has given you a brief overview of how to use Hampson Russell Software for reservoir characterization. For more details and tutorials, please visit e0e6b7cb5c