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Meet Ava Clastics

Although it’s widely considered best practice to use analogue data in facies models, the process is time consuming, somewhat subjective, and highly variable depending on domain expertise. By using GeoCypher™ logic, Ava Clastics introduces the ability to help geoscientists of varying levels of expertise consistently combine well data with quantitative analogue data to a reservoir model, and delivers an audit trail so insights are preserved for later use. The automation Ava Clastics provides ensures transparency in how analogue data is used and incorporated in modelling.

Using our proprietary GeoCypher™ logic, a technology jointly developed with the University of Leeds, Ava® Clastics analogue database and clastic sedimentology software transforms analogues into the parameters required for facies modelling algorithms, and delivers them directly to applications like Petrel* E&P software platform. We designed Ava Clastics to seamlessly inform reservoir models, so asset teams can quickly assess the impact of incorporating high-quality analogue information.
*Mark of Schlumberger

Product Features

Explore the many features and functions that make Ava Clastics unique: grid cell size recommendations, variogram analysis, automated parameterisation, and advanced charting capabilities to name a few.

Databases

A subscription to Ava Clastics provides access to two of the industry’s most advanced sedimentology databases, FAKTS and SMAKS, created by the University of Leeds.

Info Hub

Visit the Info Hub to access documentation, videos, articles and more about Ava Clastics.

Working in Ava Clastics, You...

Save Time

Researching for publicly available analogues takes twice as long (read the case study) as it does to utilise the rich data contained within Ava Clastics. Additionally, the Ava Clastics' automated parameterisation workflow and the seamless integration with Petrel* E&P software platform improves efficiency and accuracy.

Increase Confidence

Define more realistic volume distributions and aid in effective well placement by incorporating analogues in your facies modelling workflow. With Ava Clastics, a geomodeller can easily test the validity of their facies modelling assumptions against analogues from FAKTS, SMAKS or any other private or public database.

Improve Consistency

Reservoir engineers are more quantitative. Geologists are more qualitative. Both need a common understanding of the subsurface.  Ava Clastics provides a dedicated platform for geologists to showcase their Depositional Concepts while also transforming them into algorithms appropriate for engineers.

Transfer Knowledge

Systematically empower future generations of geologists by giving them access to the knowledge that only experience and domain expertise provides. Quickly incorporate company best practices and proprietary science in the static model by using Ava Clastics.

Take a Tour of Ava Clastics

Take a Tour

Our online demo allows you to learn about Ava Clastics at your own pace. In this three part video series you will see how easy it is to incorporate analogues into your facies model by using Ava Clastics’ parameterisation workflow.

Infographic: Ava Clastics Workflow

An infographic describing the Ava Clastics environment and the five simple steps of the parameterisation workflow.

Free Trial

Our online trial environment provides access to Ava Clastics so you can begin incorporating analogues in your facies modelling workflow today.

The Databases of Ava Clastics

Your Ava Clastics subscription comes complete with exclusive access to the FAKTS and SMAKS databases created by the University of Leeds.

Speed and Robustness

Two Benefits of Using Geological Analogues in Static Modelling - Download this case study overview to see how much time an experienced geologist saved when using Ava Clastics in a model built from scratch.

eBook: Shallow-Marine Architecture

Chapter 2 in the eBook series by
Dr. Sarah Cobain focuses on the geological elements in shallow-marine depositional environments.

Video: Meet Ava Clastics

An overview video describing the cloud-hosted, subscription-based clastic sedimentology software.

eBook: Survival Guide to Fluvial Modelling

In this eBook, you’ll have access to drawings, standard log responses, palaeoclimate context and modelling elements for various fluvial depositional environments.

Geology for Everyone

Geologist sketches

More time to focus on the geology

Getting bogged down with software that’s built for reservoir engineers? Experience freedom from unrealistic defaults by using Ava Clastics to more accurately represent geology. Enjoy an environment designed by geologists where you can rapidly isolate likely Depositional Concepts for your asset, and select your preferred scale of modelling (facies, architectural and\or depositional). The GeoCypher™ logic parameterises your Depositional Concept preserving all applicable scales for immediate execution in Petrel platform.

Capitalising on the latest advances in clastic sedimentology, the software provides the ability to synthesise large amounts of data into something tangible and relevant for input directly into reservoir modelling packages. You will have the power to explore multiple scenarios as well, giving you the flexibility and control to rapidly assess a range of likely probabilities. This helps reduce uncertainty and enables more accurate modelling.
Reservoir model sketch with equations

Transform geology into engineering terms

Is geology like a foreign language to you? Descriptions of the subsurface in phrases and details at a scale that seems irrelevant to your model can get lost in translation without some basic understanding of the terminology. Ava Clastics provides an environment to converse about the appropriate scale to model, and captures all of the assumptions and supporting analogues used to generate the geomodel so you can create a common understanding about the geology impacting your reservoir model. In addition, the software allows geologists to rapidly test multiple scenarios so you can more effectively test different lateral and vertical connectivities. 


To fast-track your learning, visit the Info Hub to download the eBooks for fluvial and shallow-marine reservoirs.

sketches of charts and graphs

Delivering quality through adherence to standards

As an Asset Team Lead, you want to reduce uncertainty by understanding the assumptions made to create the reservoir model.

 

With Ava Clastics the assumptions used to model the stratigraphy and eventually predict the volume distribution are captured and explicitly preserved outside of the software application. In addition, the software allows you to codify the experience of your senior staff and deliver it through the organisation, enabling systematic deployment of great science. 

Histogram

Assuring consistency and best practices throughout the organisation

Establishing domain governance and distributing best practices across an asset portfolio is a significant challenge for any organisation. If you can ensure your team of geomodellers are sharing ideas and incorporating the adopted company standards, you can identify systematic issues such as well sample bias and manage your portfolio with greater confidence.

 

Read this whitepaper to learn how well and sedimentary log data interpretation bias can be reduced by incorporating analogues.

Geologist sketches

Geologists

Getting bogged down with software that’s built for reservoir engineers? Experience freedom from unrealistic defaults by using Ava Clastics to more accurately represent geology. Enjoy an environment designed by geologists where you can rapidly isolate likely Depositional Concepts for your asset, and select your preferred scale of modelling (facies, architectural and\or depositional). The GeoCypher™ logic parameterises your Depositional Concept preserving all applicable scales for immediate execution in Petrel platform.

Capitalising on the latest advances in clastic sedimentology, the software provides the ability to synthesise large amounts of data into something tangible and relevant for input directly into reservoir modelling packages. You will have the power to explore multiple scenarios as well, giving you the flexibility and control to rapidly assess a range of likely probabilities. This helps reduce uncertainty and enables more accurate modelling.
Reservoir model sketch with equations

Reservoir Engineers

Is geology like a foreign language to you? Descriptions of the subsurface in phrases and details at a scale that seems irrelevant to your model can get lost in translation without some basic understanding of the terminology. Ava Clastics provides an environment to converse about the appropriate scale to model, and captures all of the assumptions and supporting analogues used to generate the geomodel so you can create a common understanding about the geology impacting your reservoir model. In addition, the software allows geologists to rapidly test multiple scenarios so you can more effectively test different lateral and vertical connectivities. 


To fast-track your learning, visit the Info Hub to download the eBooks for fluvial and shallow-marine reservoirs.

sketches of charts and graphs

Team Leads

As an Asset Team Lead, you want to reduce uncertainty by understanding the assumptions made to create the reservoir model.

 

With Ava Clastics the assumptions used to model the stratigraphy and eventually predict the volume distribution are captured and explicitly preserved outside of the software application. In addition, the software allows you to codify the experience of your senior staff and deliver it through the organisation, enabling systematic deployment of great science. 

Histogram

Discipline Leads

Establishing domain governance and distributing best practices across an asset portfolio is a significant challenge for any organisation. If you can ensure your team of geomodellers are sharing ideas and incorporating the adopted company standards, you can identify systematic issues such as well sample bias and manage your portfolio with greater confidence.

 

Read this whitepaper to learn how well and sedimentary log data interpretation bias can be reduced by incorporating analogues.