Public dataset from Nederlandse Aardolie Maatschappji (NAM) and the Dutch research infrastructure of solid earth sciences (NAM 2020).
Commitment to technology and quality is one of SLB’s guiding principles. In line with this, our Petrel 2024.1 and Studio 2024.1 updates deliver the latest in domain workflows, functionality, and productivity. Together, they leverage the power of the Delfi™ digital platform to bring the latest advances in machine learning (ML) technology to your favorite subsurface software.
In this release you will find:→ New ways to predict elastic and petrophysical properties from seismic angle stacks, using a new quantitative interpretation (QI) machine learning tool.
→ A new version of the horizon clean-up process to improve your structural models by removing poor quality data.
→ The ability to interactively edit density plots and add generate color-filled or stacked histogram plots with greater flexibility.
→ An intersection player in the workflow editor.
→ Embedded discrete fracture modeling (EDFM) for use in hydraulic induced fracture scenarios and large-scale systems in naturally fractured reservoirs.
→ Much, much more...
Additional release highlights and information:
A new tool has been added to the quantitative interpretation (QI) module. The QI machine learning reservoir characterization tool uses ML to predict elastic and petrophysical properties (porosity, volume of shale, etc) from seismic angle stacks.
Public dataset from Nederlandse Aardolie Maatschappji (NAM) and the Dutch research infrastructure of solid earth sciences (NAM 2020).
This method automates the prediction of high and low-quality seismic horizon data in the areas near to faults, using a combination of distance and algorithm-based filters. The resulting filter attributes can be used to remove poor—and retain good quality—data, enhancing the model.
Public dataset from Nederlandse Aardolie Maatschappji (NAM) and the Dutch research infrastructure of solid earth sciences (NAM 2020).
There are some great improvements to the data analysis and plotting workflows. Those include the ability to interactively edit density plots in the function window and add color-filled or stacked histogram plots.
(left) Stacked histogram with discrete color fill (right) A density crossplot in a function window.
We have added the intersection player step feature as a new workflow editor function. This new workstep accepts inline, crossline, time slice, random intersection, or a variable.
EDFM is now available in Petrel software and the Intersect™ high-resolution reservoir simulator, to allow fractures to be represented as discrete objects during reservoir modeling and simulation. The integrated embedded discrete fracture modeling to simulation workflow is supported in the Intersect simulator from 2024.1.
—Surender Manral and the Petrel and Studio team
Product Manager Petrel subsurface software
For more detailed information:
Petrel 2024.1 is a quality and stability improvement release centered on ensuring that the platform remains robust and easy to use. In this release, new functionalities have been added, based on popular feature requests. Please read the release notes to find the full list of improvements and fixes.
Check out the latest technology updates on the Petrel software web page.
DATA (STUDIO)
Performance has been improved in the Data Table, introducing the ability to suspend the current query filter until the necessary filtering selections are made.
Usability has been improved for the Log Viewer and the Studio Web Server when searching through a large number of wells in Petrel software.
A new datatype “Well Top Attribute” is now supported when creating a repository role.
FOUNDATION
To enhance visualization and printing workflows in Petrel software a new color interpolation method has been added for continuous color tables.
Perceptual interpolation occurs in a color space known as Oklab. The Oklab color space is a perceptually uniform color model that accurately represents how humans perceive color. It ensures a visually consistent and balanced transition, considering factors such as lightness, chroma, and hue.
The geostatistical information is extended by showing the values for P10, P50, and P90, which are now included in the Statistics tab in the Settings dialog box for a supported object (points, polygons, and surfaces). The values are updated when the refresh button is clicked at the bottom of the Statistics tab.
From Petrel 2024, users can transfer data using the reference project tool without saving the working project first. This workflow should not be used to transfer large seismic datasets stored in the project (in other words, datasets that are not stored in external SEG-Y or ZGY files)
GEOLOGICAL INTERPRETATION
A column selector has been introduced in the Well data browser, allowing users to slice-and-dice wells and well-related data with an easy and familiar interface. Each tab within the Well data browser (except the Completions tab) will appear in the column selector. Those datatypes with multiple sources, such as point well data, checkshots, and well tops will appear in the selector as subfolders for all non-default attributes.
Another addition to the Well data browser is the ability to insert wells via a closed polygon (or polygon set). With the Well data browser open, simply select a closed polygon from the Input pane and click the blue arrow to view the wells that intersect that polygon. If users then select a new polygon and arrow that in, the wells from the new polygon are then appended to the list. Alternatively, right-click a closed polygon and select the “View wells in Well data browser” option to see the wells associated with the polygon.
In the Make/edit surface process, we have introduced a simple input filter under the Pre-proc tab. With this option enabled, users can make a first filter pass on that input data before passing it through the rest of the Make/edit surface process, ensuring that outliers do not influence the final map.
GEOPHYSICAL INTERPRETATION
Summary of Geophysics updates
A new tool has been added to Quantitative Interpretation (QI). The QI machine learning reservoir characterization tool uses machine learning (Fast Tree model) to predict elastic and petrophysical properties (porosity, volume of shale, etc) from seismic angle stacks. The model is trained on synthetic gathers created at input wells, and can be optimized using several parameters. Along with the model, the tool generates crossplots, prediction well logs and statistics for effective quality control.
We have added the intersection player step feature as a new workflow editor function. This new workstep accepts inline, crossline, time slice, random intersection or a variable. It inherited the step from the intersection use in the intersection player.
STRUCTURAL AND RESERVOIR MODELING
Many enhancements have been made to improve data visualization and analysis in Petrel software in the Function window and the Histogram window. When crossplotting data in the Function window, the density of plotted points can be shown for all visible points, or for points around Z slices from a 3D crossplot. Controls for this functionality—as well as the histograms on the crossplot window—are added to the Petrel Inspector for easy access.
In a Histogram window, bars for discrete data can be colored and labeled according to their templates. Bars for continuous data from the 3D grid can be split vertically and colored according to their associated discrete data. For example, a bar representing 5–10% porosity can be split according to a facies property code on coincident cells.
Many enhancements were also made to improve the Petrel workflow editor for end-to-end reservoir modelling process. In well log upscaling, the Saved-search option is modified so that users can assign local/global variables to a combination of single well, well folder(s) and saved searched(s).
In petrophysical modelling, under the Distribution tab, users can assign local/global variables for secondary property and crossplot.
A new version of the horizon clean-up process is now available. This process can be used to remove poor quality data—and retain good quality data—around faults. The clean-up of horizon input data around faults, using several algorithms and filtering rules, should be applied prior to building horizons in a pillar grid or structural model.
The new process provides improved usability and performance, and follows the expected ‘Edit existing’ Petrel behavior, in which user inputs and settings are saved with the output ‘Keep v. delete’ attribute. We have also rolled out full support for skeleton pillar faults, and for fault frameworks and structural models within structural frameworks.
Some updates to the structural and fault analysis fault geometry mapping operations have been made to ensure compatibility with the results of the horizon clean-up process. This operation also provides tools to understand the relationship between horizon inputs and faults. The application of this operation for structural frameworks is now provided and has been improved for skeleton pillar grids.
Embedded discrete fracture models (EDFM) are available in Petrel and the Intersect™ high-resolution reservoir simulator, to allow fractures to be represented as discrete objects during the reservoir modeling and simulation.
The EDFM approach allows complex hydraulic and natural fracture networks to be modeled efficiently in comparison to pre-existing methods. A new composite fracture network process is provided to combine multiple discrete fracture networks and attributes into a single composite discrete fracture network (CDFN). This CDFN, and its attributes, are a critical preparation step for the reservoir simulation of pillar or stairstep grids containing discrete fractures. Within Petrel, the CDFN must be provided in an EDFM-type Define simulation case.
GEOMECHANICS
Petrel now offers a new option to dynamically change the fault or fracture properties during a Visage simulation. The discontinuity modeling process has been improved to now accept property updating functions—this complements the property updating option for intact rock that was already available in the Populate properties process. This feature now allows for the modeling of advanced, non-linear slip-weakening behavior for fault integrity studies, among other improved capabilities.
For models in which the stress field is initialized using the displacement or stress boundary conditions, the Define geomechanics case process now offers the removal of the large initial deformation of the stress initialization step from simulation results. By default, this option is enabled, and affects both reported displacements and strain values.
Petrel Geomechanics users also now benefit from new custom color tables, which make it easier to display simulation results. Yield values now have a dedicated Petrel software template—“Distance to failure”—with its own associated color table. New templates were also introduced for critical mud weights which are used by the mud weight process outputs. The workflow editor now supports the Stress calculator process.
If simulations are run in the Delfi platform, Petrel can now suggest a custom simulation configuration for the simulation case. The number of parallel tasks and threads are suggested based on the model size and memory requirements. This new feature can assist users to adjust the parallelization parameters to the specifications of the numerical cloud resources available in the Delfi platform.
RESERVOIR ENGINEERING
Embedded discrete fracture models (EDFM) are available in Petrel software and the Intersect simulator to allow fractures to be represented as discrete objects during reservoir modeling and simulation.
The EDFM approach allows complex hydraulic and natural fracture networks to be modeled efficiently in comparison to pre-existing methods. The EDFM simulation case for the Intersect simulator can be constructed in the Define simulation case process, providing a composite discrete fracture network (CDFN) and its attributes in addition to the essential input data for Intersect simulation.
ECLIPSE Network Simulator (ENS) workflow has been extended to support looped networks. Flows and pressures in a looped, non-dendritic network can be modeled and visualized in Petrel software. Looped ENS can be added in the Field Management strategy for Intersect simulation cases.
Petrel now offers the Spycher and Pruess option for thermal fluid models in the Make fluid model process for carbon storage simulation in Intersect simulation cases. Spycher and Pruess enable the definition of mutual solubility of CO2 and H2O as a function of pressure, temperature, and presence of various salts.
Several processes for simulation results analysis, such as Results charting and analysis, Network results visualization, 3Dresults analysis, Generate streamlines and Allocation tables are now accessible with the Data and Results Viewer license.
Petrel™ subsurface software offers geoscientists and engineers a single platform for collaborative workflows, using innovative, best-in-class technology. From seismic processing to production, Petrel subsurface software enables seamless integration across all subsurface domains, helping users to deliver their best field development plan every time.
Commitment to technology and quality is one of SLB’s guiding principles. In line with this, Petrel 2024.1 delivers the latest updates in domain workflows, functionality, and productivity. It also leverages the power of the Delfi™ digital platform to bring the latest advances in machine learning technology to your favorite subsurface software. Those subsurface workflows are used to accelerate exploration, development, and production for either unconventional or conventional reservoirs, and they are now fully applicable for developing new energy and low-carbon projects, such as carbon capture, utilization and storage (CCUS), geothermal, and wind farm site characterization.
Learn more about Petrel and Studio.
Petrel subsurface software and Studio™ E&P knowledge software bring benefits to all geoscientists and engineers, including seismic processors, seismic interpreters, geologists, reservoir modelers, reservoir engineers, drilling engineers, production geologists, and data and information managers.
They can be deployed by companies working across exploration, development, and production for either unconventional or conventional reservoirs. They are now also fully enabled for developing new energy projects, such as CCUS, geothermal and wind farm site characterization.