Strategic and Investment Planning in the Oil-Refining Industry
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This document presents quantitative methods for strategic and investment planning in the oil-refining industry. It describes a mixed-integer nonlinear programming model that incorporates blending equations, crude choice and processing constraints, and logic constraints for unit expansions, installations, and investments. The model is used to determine the optimal investments of $30 billion over 12 years to maximize net present value, considering refining structures like crude distillation units and residual fluid catalytic cracking units. The results show it is best to invest in gasoline production using this type of configuration.
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Informs 2016 Solving Planning and Scheduling Problems with CPLEX
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Missing-Value Handling in Dynamic Model Estimation using IMPL
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DevOps and Testing slides at DASA Connect
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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* Live demos with code snippets
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Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Pushing the limits of ePRTC: 100ns holdover for 100 days
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GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
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Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
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GridMate - End to end testing is a critical piece to ensure quality and avoid...
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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Large Language Model (LLM) and it’s Geospatial Applications
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Mind map of terminologies used in context of Generative AI
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A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
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We will cover:
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
20240605 QFM017 Machine Intelligence Reading List May 2024
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Pushing the limits of ePRTC: 100ns holdover for 100 days
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Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
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GridMate - End to end testing is a critical piece to ensure quality and avoid...
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Essentials of Automations: The Art of Triggers and Actions in FME
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Full-RAG: A modern architecture for hyper-personalization
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National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Strategic and Investment Planning in the Oil-Refining Industry
- 1. Quantitative Methods for Strategic and Investment Planning in the Oil-Refining Industry Brenno C. Menezes1, Ignacio E. Grossmann2, Jeffrey D. Kelly3, Lincoln F. Moro1 1Refining Optimization, PETROBRAS, Rio de Janeiro, Brazil. 2Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, United States. 3IndustrIALgorithms, Toronto, Canada. Mixed-Integer Problem: Kerosene C3 +C3= Capital Cost Constraint: Refining Modeling: Logic Constraints for Expansions and Installations: Logic Constraints for Unit Type Investments (structural precedence): Blending Equations: MINLP Case: 30 bi U$ to invest. Net Present Value (NPV) for 12 years without demand Crude Choice and Processing Equations: Conclusion: Trendy into invest in gasoline with CDU and RFCC structure