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Weatherford, INT Expand Collaboration to Create 2D, 3D Real-Time Well Visualization

INT’s IVAAP framework provides next-level real-time well visualization in 2D and 3D for Weatherford’s Centro digital well delivery software.

HOUSTON, TX – August 18, 2020 – Weatherford International plc announced a strengthened collaboration with upstream data visualization provider INT to provide next-level, real-time well visualization in both 2D and 3D. Weatherford will embed INT’s IVAAP framework into the Weatherford Centro™ digital well delivery software, advancing its data visualization capabilities.

“Weatherford’s selection of the IVAAP framework for their Centro software is extremely exciting for INT,” said Dr. Olivier Lhemann, President of INT, Inc. “Centro is leading the industry-wide digital transformation as part of a new generation of applications built fully in HTML5. It is both highly collaborative and powerful, but still very user-friendly. INT has worked with Weatherford for many years and we are proud to be part of their innovative approach to integrating data and analytics within a single platform.”

Weatherford Centro digital well delivery software offers exceptional workflows that seamlessly integrate every element of an operator’s well data, allowing team members from any global location to access, share, and store all vital project information at any time. Combining Centro’s advanced data visualization capabilities with the IVAAP framework provides next-level real-time well visualization in 2D and 3D.

“Weatherford provides digital solutions that help our customers reduce costs and increase operational efficiency,” said Gustavo Urdaneta, Drilling Software Global Manager at Weatherford. “The proven E&P data visualization and open architecture design was a critical factor in selecting the IVAAP framework to enhance the value of user centric visualizations in our well delivery software.”

Weatherford has been at the forefront of software innovation, especially in drilling and production. Both companies have built a strong relationship by embedding advanced HTML5 domain visualizations libraries and modules from INT in several Weatherford software applications.

Read the full press release on PRWeb.

Visit int.com/ivaap/ to learn more or contact INT at intinfo@int.com.

About INT

INT is a software provider of Data Visualization solutions and platforms used in Upstream E&P and other technical industries. INT Software uses the latest technologies, such as HTML5 and JavaScript, to enable cloud-enabled and mobile-responsive solutions. For more than 25 years, INT visualization libraries, widgets, and frameworks have been used by the leading Oil & Gas and Service companies to empower best-in-class business applications for seismic, geoscience, well intelligence, drilling ops, utilities, manufacturing, and asset management.

About Weatherford

Weatherford is a leading wellbore and production solutions company. Operating in more than 80 countries, the Company answers the challenges of the energy industry with its global talent network of approximately 19,000 team members and 600 locations, which include service, research and development, training, and manufacturing facilities. Visit weatherford.com for more information or connect on LinkedIn, Facebook, Twitter, Instagram, or YouTube.

Picking Horizons in INTViewer 5.2

Horizon picking is a feature that INTViewer has included from the start. However, after discussing with several long-time users, I have found that the evolutions brought by each release can be missed. The release of INTViewer 5.2 is a good opportunity to tour basic picking options.

First, a bit of terminology. The term “horizon” in geoscience is often a generic term for surfaces. In INTViewer, “horizon” is a surface that is typically defined by trace number or INLINE-XLINE as opposed to X-Y.

In INTViewer’s lingo, surfaces defined in X-Y are “grid surfaces” if they follow an X-Y grid. If they don’t follow of well-defined grid, they are “Gocad” or “Triangle Mesh” surfaces. The “grid” of an “horizon” is the grid of the underlying seismic dataset. Users can work with horizons on 2D datasets, 3D volumes, and gathers.

When it comes to editing horizons, there are three picking modes available: Mouse Drag, Mouse Click, and AutoTrack.

The layer shortcut window giving quick access to all horizon options.
 
The Mouse Drag picking mode is the default and lets you draw continuous lines across a XSection.

An example of picking using Mouse Drag.
 
Mouse Click is a faster picking mode as you only need to pick a few points. After you release the mouse, the traces between the last two points are auto-picked.

An example of picking using Mouse Click.
 
AutoTrack is the fastest picking mode as it will pick across the entire section visualized on screen.

An example of picking using AutoTrack.
 
Users are not limited to one picking mode. Keyboard shortcuts let you switch modes interactively as you are picking points. You can elect to “snap” picks to peaks or troughs and sample measurements are affected by default by any trace processor that might be applied.

All snapping options.
 
Each snapping option is detailed in the INTViewer user guide.

Your picks are reflected in real time in all windows, including 3D windows.

A 3D window next to a 2D window where an horizon is picked.
 
Which brings me to this new INTViewer feature. Picking in 2D is a tedious activity. A faster way to pick a full volume is to use the built-in horizon interpolation.

This interpolation uses the Natural Neighbor algorithm to propagate existing picks into a full surface. This is an option accessible from the contextual menu of an horizon layer.

The Natural Neighbor Interpolation option
 
Another often overlooked feature of INTViewer is the attribute extraction. Download the Horizon Attribute Extraction plugin from the Plugin Store to benefit from this feature.

Click the highlighted link to install this free plugin.
 
The horizon extraction is also accessible from the contextual menu of an horizon layer. This is a tool with numerous options, useful for 4D analysis. As this is an operation that is typically applied to multiple datasets, it is scriptable in Python. INTViewer will create Python scripts for you based upon your extraction parameters.

The Horizon Attribute Extraction dialog.
 
There are a few features not included in this tour: A calculator is available to combine the attribute of several horizons with a mathematical formula. Formulas can also be applied to trace headers to create header horizons.

Contact us for more information on horizon picking!