OSDU

Oct 07 2020

Search, Access, and Visualize OSDU Data with IVAAP

INT and OSDU Collaboration

INT has been working with the Open Subsurface Data Universe™ (OSDU) consortium since the beginning of the OSDU forum in 2019. OSDU is a standard data platform for the oil and gas industry which will reduce silos and put data at the center of the subsurface community. INT made IVAAP available as part of the Demo release of the OSDU platform.

IVAAP: The Premier HTML5 Data Visualization Platform for OSDU

At INT, we worked closely with the OpenSDU team to assist with validating the platform and creating a robust framework.

Developers can deliver cloud-based digital solutions quicker than ever.
Using the powerful OSDU search and delivery API, IVAAP allows users to search, find, display, and analyze data on the fly, including log, trajectories, tops, seismic, horizon, and fault data.
Creating a common environment hosted in the cloud enables oil and gas companies to efficiently access massive amounts of data, reduce data silos, collaborate remotely, implement machine learning (ML), and lower the cost of operations.

Search and interact with different data types.

Access your data in the cloud from anywhere.

Visualize data aggregated from various data sources in one place.

With IVAAP on OSDU R2, you can:

Combine data on the fly from wells, seismic, and many other sources.
Use a microservices architecture, IVAAP supports industry data standards, including OSDU, PPDM, WITSML, and several commercial databases.
Enable user co-visualization.
Combine data types like real-time, historical, 2D/3D seismic, reservoir, and more in your web browser with IVAAP’s one-of-a-kind dashboard capabilities.

Request a demo for IVAAP today

What Is OSDU?

The OSDU Forum was created with the objective of enabling new cloud-native data-driven applications with seamless access to the full range of subsurface and wells data as well as supporting existing applications and data frameworks.

Separating data from applications is the core principle of the OSDU solution. The plan is to achieve this by developing a common data platform with standard public APIs and to involve global cloud hosting vendors to build working implementations that will:

Allow companies to focus on the truly differentiating part of business activities
Reduce the resource and cost burden of independently designing and validating a subsurface data platform
Influence and accelerate key reference components that will be the foundation of the upstream digital transformation.

The OSDU data platform will:

Enable secure, reliable, global, and performant access to all subsurface and wells data
Reduce current data silos to enable transformational workflows
Accelerate the deployment of emerging digital solutions for better decision-making
Create an open, standards-based ecosystem that drives innovation

View the official OSDU brochure.

An Industry Solution

The OSDU Forum will:

Publish a Reference Architecture: a cloud-native subsurface and wells data platform reference architecture with initial implementations by Microsoft^® Azure, Amazon Web Services^® and Google^® GCP, with others expected.
Define Application Standards to ensure applications (microservices), developed by various parties, can run on the same OSDU data platform
Leverage Industry Data Standards for frictionless integration and data access

Business Impact

Reducing data silos: subsurface and wells data integrated and accessible in one data platform
Workflows in the cloud: user workflows seamlessly executed across the OSDU data platform, taking advantage of powerful cloud-native solutions
Access to all metadata: users will have access to powerful search capabilities
Competition and cooperation: software vendors, oil companies, academia, and open community projects can develop software on the OSDU data platform

Scope

Current Scope

Coverage: any organization with a need to store, manage or analyze subsurface and wells data
Portfolios: subsurface including exploration, development, and wells
Support for Data Driven Applications: All data in one Data Platform will enable AI (such as Machine Learning) based applications to access this data

Current Problem Statement

Data is linked to applications: we are not data-driven but applications-driven and, therefore, we will have silos
Data is stored in silos: therefore, there is no lineage between data sources or from wells back to exploration
Metadata is not stored with the data: metadata is information about the data
Limited/no search capabilities: since we have no metadata, we have no real search capabilities
Data set-up: not suitable for data-driven applications

OSDU Scope

All public cloud-based: provides unlimited scalability
All data for the data platform services loaded via the data ingestion services: extract metadata, data quality, etc.
Well-defined (RestFUL) APIs defining the access to the data platform services
Applications: (micro) services-based
Information security: covering all elements with focus on data security
In-country solution: for those countries where we are unable to move data out of the country and where there are no cloud services
Support for legacy applications based on Microsoft^® Windows or Linux^® desktop

What Is the OSDU Value?

The OSDU data platform will:

Revolutionize the industry’s ability to deliver new subsurface capabilities
Create an open, standards-based ecosystem that drives innovation
Accelerate the deployment of emerging digital solutions for better decision-making
Reduce implementation and lifecycle costs
Eliminate current data silos to enable transformational workflows
Provide access to all metadata: users can access their data and applications wherever they are
Create new opportunities for monetizing intellectual property:
- Moving to subscription models for applications or services sold by independent software and services providers
- Opportunity for multiple competitors to sell specialized algorithms or workflows that are easily integrated because of compliance to OSDU standards

Membership

If you’re interested in becoming a member of OSDU today, click here, or for a full list of members, click here.

Ready to Get Started?

Request a demo of the platform chosen to visualize OSDU data.

Request a demo for IVAAP today

Jun 02 2020

INT Brings OpenVDS Java Binding to the OSDU Community

Recently, INT announced our partnership with Bluware and our integration of Bluware’s OpenVDS format into IVAAP, our enterprise data visualization platform. We are very excited about this partnership, as well as our collaboration with OSDU. This new format was designed to empower users to browse seismic data in the cloud with high performance and lower cost.

If you are not familiar with its capabilities: OpenVDS is a cloud-native way to store seismic data in the cloud. Unlike SEG-Y, which is linear, OpenVDS data is broken into small objects and stored in the cloud object store to provide very fast access to any part of the data. OpenVDS is serverless and supports any type of seismic data, including pre-stack.

Here’s an example of how seismic data can be stored in the cloud:

seismic-data-cloud — **Graphic courtesy of Bluware Corp.**

But with OpenVDS, you have the option to store headers in the hot tier and trace data in the cold or cool tier (to restore as needed).

openvds-anatomy — ***Graphic courtesy of Bluware Corp.***

Through our process of integrating this format, we realized that we could offer a bit more functionality to help more users adopt OpenVDS by offering also a JAVA binding option. Here’s a timeline of our process:

Late March 2020

After completing the VDS integration into IVAAP, we started work on OpenVDS compatibility.

Unfortunately, there was no Java binding for OpenVDS at the time. With Java being the most popular platform for complex web application backends, it seemed it would be profitable to all if the OpenVDS technology was easily usable in these environments.

Thus, we decided to bring our expertise to the community and started working on an open-source Java binding.

April 2020

Our expert team worked on the binding. After testing different approaches, we decided to avoid automatic binding technologies (Swig, …) and to write the JNI code manually.

This decision would allow us to ensure finer control over memory management, allowing us to reduce the cost of memory transfers between Java and native C++ worlds.

We also paid particular attention to the stability and error management since this library is to be used in server backends with huge uptimes.

May 18, 2020

We’re done! We are proud to announce that the work of our experts has been accepted and merged into the OpenVDS repository.

A special thank you to Bluware for their support and to Roman Matyaschuk, Ilia Mikhailichenko, and Camille Perin with INT for making this a success story.

For more information on IVAAP, please visit www.int.com/products/ivaap/

May 21 2020

INT Releases Latest IVAAP Version Supporting OSDU Release 2

IVAAP on OSDU R2 supports seismic visualization, data aggregation with unparalleled performance in the cloud to serve large seismic volumes using IVAAP’s HTML5 technology combined with OpenVDS format.

HOUSTON, TX — May 21, 2020—Interactive Network Technologies, Inc. (INT), a leader in advanced HTML5 domain visualization in oil and gas, is pleased to announce their contribution to the new release of The Open Group’s Open Subsurface Data Universe™ (OSDU) Data Platform Release 2.

The OSDU R2 release integrates INT’s robust seismic visualization capabilities and Bluware’s open source Volume Data Store (OpenVDS). Additionally, INT contributed a Java-native interface wrapper to support the adoption of OSDU across the industry. OpenVDS and IVAAP™ work together to support fast rendering of large seismic dataset in the cloud in 2D and 3D views.

INT’s enterprise upstream visualization platform, IVAAP, enables full data aggregation and visualization of domain data across multiple cloud platforms and data storage. Using a microservices architecture, IVAAP supports most industry data standards, including OSDU, PPDM, WITSML, and several commercial databases, and enables user co-visualization. IVAAP’s unique dashboard capabilities combine data types—real-time, historical, 2D/3D seismic, reservoir, and more—to provide a unified view of exploration, drilling, and production operations in a web browser.

INT collaborates closely with the OpenSDU team to help validate the platform and create a powerful framework that developers can embed to deliver cloud-based digital solutions much faster than ever. Using the powerful OSDU search and delivery API, IVAAP allows users to search, find, display, and analyze data on the fly, including log, trajectories, tops, seismic, horizon and fault data.

Creating a common environment hosted in the cloud enables oil and gas companies to efficiently access massive amounts of data, reduce data silos, collaborate remotely, implement machine learning (ML), and lower the cost of operations.

“Working closely with The Open Group, IVAAP made it possible for users to visualize seismic data. We are very proud of the work the team—including our partner Bluware—has done to ensure IVAAP offers the best possible user experience and the fastest data visualization and aggregation. Interacting with a 100G+ 3D seismic volume in a web browser with great performance is now possible,” says Dr. Olivier Lhemann, founder and President of INT.

Read the press release on PRWeb >

For more information on INT’s newest platform, IVAAP, please visit www.int.com/products/ivaap/

Open Subsurface Data Universe™ and OSDU™ are trademarks of The Open Group.

Apr 01 2020

INT’s Leading Upstream Data Visualization Platform, IVAAP 2.5, Gets Major Update in Latest Release

Improvements facilitate collaboration and remote access to large volumes of subsurface data.

HOUSTON, TX – March 31, 2020 – INT is pleased to announce the latest release of its enterprise upstream visualization platform, IVAAP™ 2.5.

This version includes new production dashboards to enhance analysis and monitoring. Support for curve dictionaries and aliases makes it easier to build powerful log templates. IVAAP now fully supports the display of raster logs in well and correlation views (with support for TGS SmartRASTER^® format).

Improved synchronization between widgets makes it easier to navigate complex dashboards between wells, and shared dashboards and templates mean smoother, faster collaboration between users. This release also includes improvements to handle, visualize, and correlate large volumes of wells efficiently.

In 2019, INT joined the Open Subsurface Data Universe™ (OSDU) consortium, and with this latest release, IVAAP is able to support R2 out of the box, including support for SEG-Y and OpenVDS.

“The latest release of IVAAP shows our continued deep commitment to supporting clients through all of their subsurface digital needs. In the current context, the timing of this release is important for companies that now have an imperative to provide rapid, cost-effective, remote access to their data. INT consistently demonstrates the potential to go beyond conventional thinking and push the boundaries for cloud-based visualization. I’m proud of my team and their ability to switch to working remotely without disruption to keep the planned release date and provide exemplary customer service, no matter the circumstances,” said Olivier Lhemann, founder and president of INT.

IVAAP is an upstream visualization platform that enables search and visualization of geophysical, petrophysical, and production data in the cloud. It allows product owners, developers, and architects to rapidly build next-level subsurface digital solutions anywhere without having to start from scratch.

INT is the industry standard, providing upstream data visualization libraries and enterprise platforms for 30 years.

Learn more at int.com/ivaap for a preview of IVAAP or for a demo of INT’s other data visualization products.

About Interactive Network Technologies, Inc. (INT)
For three decades, we’ve created products that help oil and gas companies visualize, monitor, and analyze their data. From customizable widgets to out-of-the-box applications, our expert visualization solutions offer unparalleled flexibility for both scientific industries and business, and our HTML5/web-enabled visualization technologies are rock-solid and network-secure. For further information, visit www.int.com.

Read the press release on PRWeb >

INT, the INT logo, and IVAAP are trademarks of Interactive Network Technologies, Inc., in the United States and/or other countries.

Open Subsurface Data Universe™ and OSDU™ are trademarks of The Open Group.

Dec 05 2019

A Countdown of INTViewer’s Features for the Cloud

2019 has been a year full of milestones. INT celebrated its 30 years and has made IVAAP available to all members of the OSDU consortium as part its demo release. But this year has seen many more achievements, and among them is the consolidation of INT products as a complete ecosystem, an ecosystem centered around geoscience data, built for the cloud. One of the pieces of this ecosystem is INTViewer. With the new year approaching, let’s count down the ways that the latest iteration of this desktop application facilitates the ingestion of your data to the cloud.

Time slices take less disk space

Seismic datasets take a large amount of space. While storage is “cheap” on the cloud, when individual files take terabytes, creating a copy of that file is not an innocuous decision. Time slices provide an excellent visualization of a seismic survey but transposing a dataset effectively creates a copy of that data and not every workflow requires access to all possible time slices.

INTViewer 2019 now offers an option to choose how many time slices you want to create during transposition. Just a few slices is often enough, especially if you maintain a data library and use INT’s solutions to showcase your data to potential customers. The output of the transposition will be a much smaller file, cheaper to host and faster to upload.

Virtual headers save time and reduce storage costs

This feature was actually added in 2018, but is worth mentioning because of the cost savings. When you use INTViewer to prepare data, you might find that some headers are not populated. For example, for acquisition data, you might know the location of the source and the receivers, but not the offset or the location of the midpoint. These two header values can be calculated, and INTViewer proposes to create so-called “virtual headers” that will store this information.

Creating virtual headers doesn’t modify your SEG-Y file. It doesn’t change the size of the small index file that INTViewer creates to make fast data access possible. Without virtual headers, to show the midpoint or the offset, your only solution would be to rewrite your data. Not only this rewriting operation takes time, but it also creates yet another copy of your data, doubling your storage costs.

Quick validation of your data before you upload it to the cloud

New technologies bring new terminologies. One term in particular that has made its debut in the geoscience community moving to the cloud is the term of “snowball”. A snowball is the physical transport solution that cloud providers offer when the network becomes impractical to move large data files to the cloud. This is a painful process to “ship” your data with a snowball and even when network bandwidth does allow reasonable upload times, there is certainly no time to do it twice.

INTViewer has been designed to allow immediate quality control of your data. Drag and drop your SEG-Y file to INTViewer’s desktop, and you’ll visualize traces immediately. Performing a spectrum analysis is two clicks away. And there is no need to set up a project. After indexing your dataset locally, verifying the location of your data on a map is also instantaneous. This is a simple way to confirm the validity of the location headers and coordinate reference system prior to ingestion.

As you upload more and more data to the cloud, your validation process needs to become systematic. This is where the automation of INTViewer comes in handy. INTViewer is scriptable through Python, allowing you to repeat the exact same validation steps prior to ingesting your data to the cloud.

A more efficient and useful index file

Users of INTViewer are familiar with the .XGY file, an XML file that INTViewer creates during indexing. This file contains the meta data of a SEG-Y file after it’s been indexed. The format of this file has been changed in 2019 in two ways:

The meta-data of an indexed SEG-Y is now visible in the .XGY file. An example of such meta-data is the amplitude statistics (minimum amplitude, maximum amplitude, average, RMS). These statistics used to be stored in the companion binary .IGX file. Exposing these statistics in plain text allows our customers to extract this information in an automated manner just by parsing the .XGY file. This is especially useful if you are building your own data lake.

When indexing a 2D line, INTViewer automatically calculates the trajectory of that line. Likewise, when indexing a post-stack or a pre-stack, INTViewer derives the outline of this survey. This information was always stored in the .XGY file, but its projection to WGS84 was not… until 2019. While it’s also valuable information to extract and store in a proprietary database, cloud solutions such as IVAAP benefit from reading the projected geometry of a dataset instead of having to calculate it. The data loads faster on a map because there is only one file from the cloud to read to get all the meta-data, instead of two with an index from 2018. The number of files to read is important because cloud APIs consume more resources when accessing multiple files compared to the same accesses on a local file system.

Integration with IVAAP through the INTGeo plugins

Historically, the INTGeo plugins of INTViewer were written to access files posted on INTGeoServer. INTGeoServer is a lightweight geoscience server often used in conjunction with INT’s HTML5Viewer. INTViewer has long been able to efficiently visualize seismic and well datasets posted on INTGeoServer.

Likewise, with the release of INTViewer 2019, INTViewer can also access data posted in IVAAP. This means that if you have ingested your seismic datasets to Amazon S3, you can visualize these datasets in INTViewer by just pointing this application to your IVAAP instance. INTViewer is storage-agnostic and its tools (2D, 3D, F-K, Spectrum, etc.) will work without extra steps, as if the data was local.

This capability is quite useful to conclude an ingestion workflow. After you upload one or several datasets, you typically want to verify that your data wasn’t corrupted during this process, or simply that all files were posted. With the INTGeo plugins, you do not need to open IVAAP to perform this step, it can be done from the same desktop application used to flight-test this data prior to ingestion.

IVAAP supports multiple cloud vendors. In addition to Amazon S3, you can visualize data posted both to Microsoft Azure Blob Storage and Google Cloud Storage. If IVAAP has been deployed to access these data stores, you only need your IVAAP credentials and INTViewer to open the datasets they contain. This also applies to all files posted in an IVAAP “geofiles” connector, whether they are seismic (SEG-Y, SEP) or well (LAS, DLIS) files.

This concludes our countdown (happy new INTViewer?). While INTViewer stands on its own as an application for QA and QC, it is also a useful companion to a cloud ingestion workflow in general, and to IVAAP in particular. You reached this far—contact us for a demo or an evaluation!