Stone Ridge Technology releases ECHELON Software version 2022.1

Version 2022.1 is here. Contact us today to trial the industry’s most powerful software for subsurface flow simulation.

Blog stone ridge releases echelon 2022 1

Posted in: ECHELON Software

The SRT team along with our development partners at Eni are pleased to announce Version 2022.1, the latest release of the ECHELON software. This version delivers important new features and performance enhancements. New ECHELON features include the extension of salinity tracking to compositional models, tracking of original fluids, and coupling to multiple FNS networks. New FNS features include injection networks, and compositional tracking. Version 2022.1 builds on the ECHELON 2.0 release last April which introduced a full GPU solution of compositional formulation (both fully implicit and adaptive implicit options), our native facility network solver (FNS), multi-reservoir coupling for black oil models, complex user-defined dynamic quantities for group and well management functionalities, improved and robust restart capabilities, to name just a few. Some of the important feature additions with Version 2022.1 are described below.

Injection networks support in FNS

FNS can now model gas or water injection networks. Together with the ability to couple multiple surface networks to ECHELON within a single simulation, the new feature allows ECHELON to manage the entire production/injection stream in a holistic manner.

Coupling of ECHELON to multiple FNS networks

It is now possible to connect reservoir models to multiple production/injection networks. Besides the ability to model both injection and production streams simultaneously, this feature is used by reservoir engineers to simulate and couple large production networks with separate separation streams and boundary pressures, where back pressure generated in one flow stream does not affect wells in the other streams.

Compositional tracking in FNS

It is now possible to track the compositional flow along FNS production networks and thus estimate the composition of the fluid in each pipeline. This has applications, for example, in cases where the production and distribution of acidic gases such as H2S or CO2 is monitored for the mitigation of pipeline corrosion.

Salinity tracking

The brine option (salinity tracking), as well as the low salinity EOR option, are now also available for compositional models.

Tracking of original fluids

Tracer tracking of original fluids with the compositional formulation provides reporting of produced volumes of oil and gas originally above or below the gas-oil contact. This is of particular interest in cases where the ownership of the oil pool and primary gas cap differ.

Conditional scheduling

Extension of the number of keyword fields supporting user-defined arguments, and increase of the number of keywords available for use in conditional scheduling events (ACTIONX).

Karthik Mukundakrishnan

Karthik Mukundakrishnan

Dr. Mukundakrishnan is the Director of Research and Development at Stone Ridge Technology. Prior to joining Stone Ridge Technology, he was a R&D Technology Manager at Dassault Systemes Simulia (formerly ABAQUS Inc.). He has more than 15 years of experience working on HPC codes and published extensively in the areas of fluid dynamics, multiphysics coupling, and reservoir simulation. Dr. Mukundakrishnan obtained his M.S. and Ph.D. in Mechanical Engineering and Applied Mechanics from the University of Pennsylvania.

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