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maximum displacement efficiency in a porous medium. However, a systematic review and evaluation of the experimental and theoretical determination oft he MMP is still missing. The widely used experimental […] Experimental and theoretical approached to determine the minimum miscibility pressure (MMP) (Text nur in Englisch verfügbar) Introduction Miscible CO2 injection is an important method in enhanced oil recovery […] recovery (EOR). This method is particularly effective for light and medium crude oil reservoirs. In case the reservoirs contain a substantial amount of CO 2 already in place, miscibility is an important

services. This ecosystem significantly enhances the accessibility and usability of tailored processes, allowing users to interact with and generate project-specific artifacts in real time without needing […] Software Process Ecosystem", was successfully presented at the International Conference on Software and Systems Processes (ICSSP 2024), which took place from September 4-6, 2024, in Munich. The paper was […] This research, in collaboration with Oliver Greulich, Christoph Knieke, Bassel Rafie, Marco Kuhrmann, and Prof. Rausch, introduces an innovative Software Process as a Service (SPaaS) approach. We propose a

Landesinitiative Forschungsdatenmanagement Niedersachsen hat in diesem Jahr erstmalig den FAIR Data and Software Award Lower Saxony ausgeschrieben, um hervorragende Veröffentlichungen von Forschungsdaten […] Zenodo abrufbar. Für den veröffentlichten Datensatz wurde die Forschungsgruppe nun mit dem FAIR Data and Software Award Lower Saxony in der Kategorie Datensatz ausgezeichnet. Die Jury hat insbesondere die

Partners and Sponsors Benefits of Sponsorship Sponsors Partners SPE German Section SPE German Section SPE International SPE International Institute of Subsurface Energy Systems Institute of Subsurface

-rich field of data in space and time is obtained for model calibration. The deterministic model calibration is typically done using the nonlinear least-squares method and was recently extended by qua […] Constitutive model calibration and uncertainty quantification using full-field data Objective function with locally unique minimum Objective function with a valley yielding infinitely many solutions during […] xander Tröger The calibration of constitutive models is essential for reliable simulation results and has re-gained significant research interest due to the development of full-field measurement techniques

of unconventional oil and gas. Shales are characterized by their low permeability which limits the flow of oil and gas within the reservoir. These reservoirs require careful and precise manipulation of […] reasons render the coupling of CO 2 -EOR and GCS an attractive option for achieving a net-zero carbon economy. All governing mechanisms and relevant thermophysical and transport properties are currently under […] Shale for oil/gas recovery, CO2/H2 storage and hydrocarbon conversion Depleting conventional oil and gas reserves mandate that alternative energy resources are explored to supply the increasing global

cultural events. Key Objectives: Develop and train AI models capable of processing and modifying CAD plans. Create a data platform to support process monitoring and visualization. Implement a 3D visualization […] Planning with CAD Automation and Robotics The student project aims to develop a prototype for an innovative AI-driven system for Smart Architectural Planning with CAD Automation and Robotics (SAPCAD). This […] user-friendly interface. Explore ML and DL methods, including Reinforcement Learning, for advanced CAD automation. Technical Requirements: Proficiency in Python and/or Web Development Knowledge in Machine

Jaden Fiotto-Kaufman and Alexander Loftus as first authors. Abstract: We introduce NNsight and NDIF, technologies that work in tandem to enable scientific study of the representations and computations learned […] Betz, and Christian Bartelt has been accepted in the Workshop on Reasoning and Planning for Large Language Models at ICLR 2025. Abstract: Exploration is a crucial skill for self-improvement and open-ended […] clarify when and why these strategies are most effective. 5. The paper "Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models” by Patrick Knab, Sacha Marton and Christian

DACS: Dependable and Autonomous Cyber-Physical Systems Autonome, intelligente und vernetzte Cyber-Physische Systeme, wie zum Beispiel autonome Fahrzeuge oder Roboter, übernehmen immer mehr sicherheitskritische

temperature and displacement as well as in-plane temperature gradient and strain distributions on curved surfaces. This is of particular interest in additively manufactured parts, which might have wavy and curved […] Theory and numerics of Additive Manufacturing Processes Lutz Müller-Lohse Thermography yields two-dimensional information of the temperature distribution on a part, although parts might have curved surfaces