October 14, 2021
Low-code AI Cloud Platform Driving Energy Transition
We are pleased to invite you to the second virtual DATADVANCE User Conference (DUC2021), an annual gathering of pSeven users community, that will be held on 14 October 2021 online.
DATADVANCE conferences have always been a platform to discuss global industry trends and hurdles that concern all the industry sectors across the world. This year, conference’ focal point is a challenge that will soon impact every industry – the transition to a future sustainable energy system. Energy transition refers to the global energy sector’s shift from fossil-based systems of energy production and consumption to renewable energy sources like wind and solar, as well as lithium-ion batteries. At DATADVANCE, we are certain that Artificial Intelligence and Machine learning-based software solutions are vital to the energy transition and have the potential to reduce energy waste, lower energy costs, and facilitate and accelerate the use of clean renewable energy sources in power grids worldwide.
The agenda of DUC2021 encompasses multi-industry presentations of customer success stories and the talks of energy and R&D experts, who will reveal the role of ML-based cloud technology by DATADVANCE in driving the energy transition. The role of DATADVANCE software solutions is to apply the AI capabilities to the industrial data of the customers and to build more reliable and accurate Digital Twins of assets and networks faster. The combination of utility data, domain knowledge and industrial AI helps energy businesses be more flexible and deliver safer, cleaner, and more sustainable energy.
Participating at a virtual DUC2021 is a great opportunity for the design engineers, simulation experts, R&D specialists, data scientists, methods and tools experts and other professionals from any industry to get together to establish collaboration and find solutions to the most relevant challenges. Join us at DUC2021 to:
Laurent Chec, Vice-president of Global Sales, DATADVANCE
Matthieu Minguez, Business Development & Operational Manager of SEAL Engineering, part of the Centre of Expertise of TechnipFMC
As of today, our current way of life is changing. The world is becoming digital. This general trend is being reflected in the industry, and, as such, the Energy Sector is following the momentum. For the latter, the challenge is certainly higher since this is to be managed in parallel of the Energy Transition and the drastic (and short term) changes in the way to produce / store / convey energy.
The purpose of the talk will be consequently to share some insight on how TechnipFMC is managing its digital transformation. The focus will be done on both digital strategy and solution which are being deployed and developed to change the way Energy systems are designed and operated, keeping in mind that the end objective is to improve performance (and reliability) for our Clients. As part of this strategy, the light will be put on how pSeven Enterprise (and more generally speaking AI-based solution) is being embedded within our digital product to speed-up, automate and optimize the engineering on some of our core business activities.
The talk will finally conclude on some of the new challenges we are facing on in the development of Renewable Energy solution and, in particular, how AI-based solution will help us to make technology possible and cost competitive.
Jean Botti, CEO, CTO and Co-Founder of VoltAero
VoltAero is taking electric aircraft to an entirely new level, paving the way for a new era of regional air transportation. Benefitting from 80-plus years of combined pioneering expertise, VoltAero is developing a truly unique general aviation airplane with hybrid-electric propulsion for safe, quiet, efficient and eco-friendly flight. With seating capacities from four to 10 passengers, Cassio aircraft will offer 3.5 hours of flight autonomy – enabling flight distances of up to 1,200 km.
Sergey Morozov, President, DATADVANCE
David Heiny, CEO, SimScale
The benefits of moving beyond an iterative manual design process and leveraging automatic design space exploration techniques have been proven by many engineering organizations. By programmatically exploring more design versions earlier in the product development process, organizations increase product performance and quality, decrease time-to-market and capture their engineering IP more reliably. Yet the barriers to leveraging design space exploration in more organizations and product development processes remain significant: The traditional setup and orchestration of an effective software and hardware stack to execute programmatic optimization workflows require significant expertise, time and financial investments.
With a new generation of cloud-native engineering software tools emerging, end-to-end design space exploration workflows can be set up and executed without administering any of the required “backend” tools such as CAD, Simulation or the Optimization software itself. David Heiny will demonstrate such a workflow developed by Datadvance and SimScale in collaboration and showcased with an electronics cooling example. The design of a water cooled Insulated-Gate Bipolar Transistor (IGBT) cold plate is explored and optimized to maximize heat transfer from the IGBT to the coolant fluid at low mass flow rates. The workflow runs 100% in the cloud - from the optimization software over CAD generation to the CFD simulation.
Kenta Aoshima, Engineer, SCSK, Rio Shimojou, Sales Representative, SCSK
Andrei A. Osiptsov DSc, Professor, Director of Project Center for Energy Transition and ESG, Skoltech
In this talk we give an example of successful application of pSeven product of Datadvance to a particular problem of optimization of the oil production stimulation technology. Hydraulic fracturing has been used routinely in the field since 1947 to stimulate oil (and, later, shale gas) production. The design of a pumping schedule is usually obtained with the help of commercial simulators based on first principles continuum mechanics, where the model needs validation itself. We took an alternative route based on real field data on reservoir properties, well, fracturing design and production. Digital database now includes more than 5000 wells from 23 oilfields, with 6600+ fracturing operations in total. Starting with ~400 parameters characterizing each well, we end up with about 40 key governing parameters used as input features for forward modeling. An inverse problem (selecting an optimum set of fracturing design parameters to maximize production) is formulated as optimizing a high dimensional black box approximation function constrained by boundaries and solved with surrogate-based optimization from pSeven, which demonstrated better performance than alternatives. A recommendation system containing all of the above methods is designed to advise a production stimulation engineer on an optimized fracturing design.
We will also discuss the outlook for the future, where we need to optimize technologies with respect to the set of ESG metrics: minimize carbon footprint (Scope 1 emissions), environmental impact (reduce the amount of chemicals) and minimize solid material injected underground (Scope 3 emissions of supply chain). Net zero is a data integration and data analytics problem, where access to good quality data and advanced analysis instruments becomes crucial to provide a well-grounded advice to the industry.
Thomas Schaaf, Reservoir Engineer, Storengy – Engie group
Focusing on aquifer gas storages, some chemical reactions might happen in the underground porous media (depending on variables Xi), which might modify the characteristics of the UGS produced gas and challenge a direct re-injection in the transportation system, where gas must fulfill some technical specifications.It is therefore crucial to have reliable forecasts of such UGS produced gas characteristics (response Y). Although the physics is well understood, no numerical model is currently available to mimic such phenomena.From a raw dataset, we have capitalized on the data analysis and Model builder features of pSeven to:
This pSeven application is complementary to other internally developed approaches and, by cross-checking, reinforces our confidence in the obtained forecasts.
Quentin Courjeau, Air Systems Engineer, Liebherr Aerospace
Anton Saratov, Vice-president of Application Engineering, DATADVANCE
Benjamin Erzar, R&D Engineer, ABS Centre Métallurgique
Nowadays, the performance of numerical tools allows studying in silico the influence of operating parameters of industrial processes. This is true even for complex processes like hot rolling involving heat exchanges with ambient and rolls, and strongly non-linear material behavior of the rolled steel.In this work, numerical simulation has been specifically utilized to reduce the risk of surface defects during the rolling of a microalloyed grade in the LUNA rolling mill (ABS). In a stand identified as critical, the influence of the roll groove design on the surface damage is particularly investigated. First, the material model is calibrated in ABS Centre Métallurgique thanks to hot compression tests in temperature and strain-rate ranges that are consistent with the rolling conditions. Then, an optimization workflow is implemented in the pSeven® software. In this workflow, the optimizer drives the parameters that define the roll geometry. The geometry update using the CAD software SolidWorks® and the hot rolling simulation using Forge® are automated within the workflow, as well as the postprocessing of computations. The initial temperature field of the billet is simulated using the Digital Twin of the LUNA rolling mill including all the previous rolling passes and interpass times. After 50 runs, an optimal groove design has been determined to limit the risk of surface defects.
Martin Pauthenet, Application Engineer, DATADVANCE
Sergey Sumarokov, General Director, CALS-center
Pumping outfit is one of the main components for hydraulic networks and systems. Its efficiency and operational reliability determine the performance of the whole systems. At design stage it’s very important to pay attention to the assessment of the effectiveness of pumping outfit and make sure that its parameters are optimized. For these purposes, enterprises use various CAE systems, which provide different approaches to assess efficiency.
pSeven platform comprises sophisticated optimization algorithms and integration capabilities to build complex workflows and carry out Multiphysics analysis. These capabilities allow using pSeven as a single platform for the problem-oriented optimization, which includes different commercial and ad-hoc CAE systems. The report presents examples of pSeven integration with various CAE systems for both fast and comprehensive optimization of pumping outfit.
Laurent Chec, Vice-president of Global Sales, DATADVANCE
On October 6, 2020 the first virtual DATADVANCE User Conference was held. About 140 representatives from the leading aerospace, energy, electronics, automotive and other companies joined the online event. A non-exhaustive list of participants includes Airbus, Orano, Groupe PSA, Halliburton, Evonik, Storengy and many others. The recordings and slides of all the conference presentations are available!Recordings and slides