Hampson Russell Software 16: A Powerful Suite of Reservoir Characterization Tools
Hampson Russell Software 16 is a comprehensive software package that integrates well logs, seismic data and geophysical processes into an easily navigated, intuitive package for fast and accurate reservoir characterization. Hampson Russell Software 16 is developed by GeoSoftware, a division of CGG, and is known for its ease of use and advanced geophysical techniques.
Hampson Russell Software 16 offers a range of modules and features to address different reservoir characterization challenges, such as:
AVO: A module for pre-stack data conditioning, attribute computation and analysis. This module has the tools for conditioning pre-stack seismic data to produce optimum attribute volumes, cross-plotting and interpretation functions for locating AVO anomalies, and AVO modeling tools for calibration[^1^].
MapPredict: A map-based geostatistical software that integrates well, seismic, and attribute data into accurate, detailed maps using both sparse data measured at isolated wellbores and dense data measured on a survey grid[^1^].
GeoAI: A module that encompasses a novel methodology for seismic reservoir characterization with limited well control, speeding up reservoir property predictions with a rock physics driven machine learning technique. GeoAI employs Convolutional Neural Networks (CNN) to estimate multiple rock property volumes in a greatly simplified workflow[^1^].
WellGen: A module that overcomes the challenge of scarcity of wells within the study area by generating synthetic data, simulating many pseudo-wells based on existing well statistics and rock physics modeling. WellGen addresses common machine learning challenges and improves reservoir characterization for low well-control areas[^1^].
GLI: A model based ray-tracing method using well-known Hampson-Russell software. The algorithm assumes that the near surface geology is described by layering that exhibits smooth lateral variations in velocity, vertically homogeneity of velocity with an individual layer, and layer velocities increasing monotonically with depth[^2^].
Hampson Russell Software 16 also provides speed improvements for processing projects with multi-node processing, flexibility to design and code any process with the Python ecosystem, and compatibility with AWS and Microsoft Azure cloud data[^1^]. Hampson Russell Software 16 is a powerful suite of reservoir characterization tools that can reduce the risks and costs associated with exploration and production.
Hampson Russell Software Crack 16
In this article, we will provide a brief overview of how to use Hampson Russell Software 16 for reservoir characterization. We will use a synthetic dataset as an example to demonstrate some of the features and modules of the software.
To start using Hampson Russell Software 16, you need to install the software on your computer or access it through the cloud. You can request a software trial from the GeoSoftware website. Once you have the software installed or accessed, you can launch it from the Start menu or the desktop icon. You will see the main window of Hampson Russell Software 16, which consists of a menu bar, a toolbar, a project tree, and a workspace.
The menu bar provides access to various commands and options for the software. The toolbar contains icons for frequently used commands and tools. The project tree shows the structure and contents of your current project. The workspace is where you can view and manipulate your data and results.
To create a new project, you can select File > New Project from the menu bar or click on the New Project icon on the toolbar. You will be prompted to enter a name and a location for your project. You can also choose a template for your project, which defines the default settings and parameters for your analysis. You can modify these settings later if needed.
Once you have created a new project, you can import your data into it. Hampson Russell Software 16 supports various data formats, such as SEG-Y, LAS, ASCII, etc. You can import your data by selecting File > Import Data from the menu bar or clicking on the Import Data icon on the toolbar. You will be asked to select the type and source of your data, and then specify the parameters and options for importing it. You can also preview your data before importing it.
After importing your data, you can view it in the workspace by selecting it in the project tree. You can use various tools and commands to display and manipulate your data, such as zooming, panning, rotating, slicing, filtering, etc. You can also change the display properties of your data, such as color, scale, opacity, etc.
Using AVO Module
One of the modules that Hampson Russell Software 16 offers is AVO, which stands for Amplitude Versus Offset. AVO is a technique that analyzes how seismic amplitudes vary with offset or angle of incidence at different reflectors. AVO can help identify hydrocarbon-bearing zones by detecting anomalies in seismic amplitudes that indicate changes in rock properties.
To use AVO module, you need to have pre-stack seismic data imported into your project. You can then select Analysis > AVO from the menu bar or click on the AVO icon on the toolbar. You will see a dialog box that allows you to select the input data and set up the parameters for AVO analysis.
The input data for AVO analysis consists of pre-stack gathers (PSG), which are collections of seismic traces with different offsets or angles at a common midpoint. You can select one or more PSGs from your project tree or create them from your pre-stack seismic volume by using the Create PSG tool.
The parameters for AVO analysis include:
AVO Attributes: These are the output volumes that you want to generate from AVO analysis. Hampson Russell Software 16 offers various AVO attributes, such as intercept (A), gradient (B), fluid factor (F), etc. You can select one or more attributes to compute and specify their names and locations.
AVO Method: This is the method that you want to use for AVO analysis. Hampson Russell Software 16 offers various methods, such as Shuey's approximation, Fatti's approximation, Smith-Gidlow's approximation, etc. You can select one method and specify its parameters.
AVO Range: This is the range of offsets or angles that you want to use for AVO analysis. You can specify the minimum and maximum values in degrees or meters.
AVO QC: This is an optional step that allows you to perform quality control on your input data before AVO analysis. You can choose to apply various filters and corrections to your PSGs, such as NMO correction, mute function, trace balance, etc.
After setting up the parameters for AVO analysis, you can click on OK to 29c81ba772