News

Auto calculate bottomhole pressues with whitson⁺ and Peleton’s WellView

Accurate and reliable flowing bottomhole pressure (BHP) data is crucial for various engineering applications, such as reservoir simulation, production diagnostics, nodal analysis, RTA/PTA, and material balance. It allows engineers to make informed decisions about well production, reservoir management, and optimization strategies. However, manually gathering and calculating BHP data can be a time-consuming and error-prone process. […]

Leftover yearend budget? Join whitson’s consortiums!

Are you looking to make the most of your leftover yearend budget? Look no further than joining one of whitson‘s consortiums! We offer a range of consortium options, including the multiphase RTA consortium and the multi-client PVT studies in various basins. By joining a consortium, you can take advantage of the collective buying power of […]

Fall News from whitson+ 🍂

We’re happy to share the latest release of whitson+, fresh out of the coding oven. There is a lot of new functionality in this release, and we’ve highlighted the main ones in this video https://youtu.be/pdO1zpu8Ek0 whitson+ – comprehensive software updates list Save Cases Functionality to add a new analysis for a given well Version control of previously […]

Summer News from whitson+☀️

We’re happy to share the latest release of whitson+, fresh out of the coding oven. There is a lot of new functionality in this release, and we’ve highlighted the main ones in this short video: https://youtu.be/sS5-6oOdsFo whitson+ – comprehensive software updates list Numerical Model: Multi-layer model – be able to assign different petrophysical properties and PVT in the […]

Michael J. Fetkovich Technology Award

PS! Video can be found here: https://youtu.be/9jHoEFFWRYI This award is dedicated to the many and important technological achievements made by Mike Fetkovich in the field of petroleum engineering. Its intention is to honor new technology that would have been recognized by Mike as improving the accuracy and certainty of resource determination and production forecasting. 2022     […]

What is Fractional RTA?

An inherent assumption in most industry RTA is equally spaced fractures. However, as shown in several field studies (Raterman 2017, Gale 2018), the distance between individual fractures tends to be unevenly spaced along the wellbore (e.g., “fracture swarms”). Fractional RTA extends industry standard RTA workflows to account for uneven fracture spacing. Flow Regimes 1.01 To […]

Anadarko – Multi-Client PVT Study

Last updated: 11 August 2022 SCOOP/STACK/Merge – Multi-Client Study The SCOOP/STACK/Merge multi-client project was first initiated in February 2019. The main objective of the study was to create one, field-wide equation of state (EOS) model for the entire Anadarko Basin. Since then more data has been incorporated into the model, resulting in a more robust […]

Spring News from whitson+🍃

We’re happy share the latest release of whitson+, fresh out of the coding oven. There is a lot of new functionality in this release, and we’ve highlighted the main ones in this short video: https://youtu.be/tZPGKVq5rfw whitson+ – comprehensive software updates list Navigation panel: Updated navigation panel (following progress of recommended multiphase RTA workflow)​ PVT:  Fluid definition, BOT and EOS […]

Crossing K-values from a tuned EOS model

Author: Sissel Martinsen In our monthly article “How to Quality Check a Developed EOS” we addressed methods to check that an EOS model calculates physically consistent properties and thermodynamic valid solutions. A thermodynamic consistent EOS model is a model that gives consistent phase behavior of mixtures, and individual components. Part of our standard EOS QC […]

Monthly Articles, News

Permian – Multi-Client PVT Study

Last updated: 29 May 2023 Permian – Multi-Client Study The Permian multi-client project was first initiated in 2019. The main objective of the study was to create one, field-wide equation of state (EOS) model for the entire Permian Basin. Since then more data has been incorporated into the model, resulting in a more robust thermodynamic […]