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he first conference of 2023 on Innovation and Digital Transformation for the Petrochemical Sector, held last Monday, February 20 in Cartagena de Indias, was successfully closed together with the Petrochemical Plastic Cluster of Cartagena and Bolivar, the Chamber of Commerce of Cartagena and the Sectoral Boards of SENA.

Where we shared with the guests about how we bring the Digital Transformation to organizations, impacting the sector with Technology, a talk by our General Manager William Vasquez, who explained to those present, about LSV-TECH, our day to day, offering reliable and quality services. In how we optimize organizations, becoming more agile and above all more sustainable. All this accompanied by a highly trained and qualified human talent, reliable and quality services. Also addressing projects or initiatives that can improve their processes, bringing innovative methodologies, increasing organizational efficiency with new technologies such as RPA and Artificial Intelligence.

Our guest of honor, Jesús Velasquez, was present after the intervention of our General Manager, Engineer and Ph. D. Chief Scientist. Expert of "Hypothalamus Artificial Intelligence". D. in Engineering from the Faculty of Mines, Universidad Nacional de Colombia 2006 Industrial Engineer and Magister Scientiarum from Universidad Los Andes ( 1975 Postgraduate studies in Planning and Engineering of Water Resources (Universidad Simón Bolívar, Caracas) and in Economics (Universidad de Los Andes). President of CLAIO 2008 Consulting engineer with experience in project management in Mathematical Modeling, Industrial Automation and Information Systems, for large companies in multiple countries.

Who spoke about the challenges facing organizations and how we can optimize resources with Artificial Intelligence in the Petrochemical Industry, leading a Digital Transformation, Driven By Autonomous And Intelligent Algorithms In Real Time.

HEAVY INDUSTRY & ENERGY EFFICIENCY: OPTIMIZATION, SMART GRIDS & ADVANCED PROCESS CONTROL

Artificial Brains:

Artificial Brains correspond to scientific fundamentals, more specifically to mathematical fundamentals, which allow connecting multiple mathematical models (algorithms or robots), exchanging information between them to obtain a common goal, and act as holistic intelligence of organizations, or parts of them. Like the human brain, the artificial brain is composed of the following artificial components:

Neocortex

Hypothalamus

Hippocampus

BIG DATA & ANALYTICS:

Organizations with Big Data and Analytics are 23x more likely to report that they are substantially outperforming their competitors than those that do not. Likewise, Intel talks about having earned more than 25 billion dollars by aligning its productive chain, "it is not an option, it is a necessity, this is cheap technology, it is software", mentions Velasquez.

The Decision Support System (DSS) is conceptualized as a set of mathematical models that exchange information with each other, working off-line.

 

The Artificial Brain is the evolution of DSS under INDUSTRY 4.0:

 

It is conceptualized as a set of mathematical models that autonomously exchange information among themselves, working online using distributed optimization. What energy efficiency implies for companies, together with the industrial efficiency of large companies, is the need to reduce the energy consumed. If productivity is increased, we lower consumption." Velasquez.

Smart grids have changed the world, we have changed one of the concepts, centralized generation in large power plants, to distributed power plants in several parts.

The engineer also shared with us different models and strategies for the efficiency and optimization of

Industrial Energy Efficiency

Optimization Strategy

OFF-LINE OPTIMIZATION (PLANNING)

  1. Re-designing the power supply system
  2. Optimize the industrial process in the plants using models

complex mathematics

Integrate the planning and programming of the industrial process (material transformation) with the industrial services.

(energy transformation) including transactions in energy markets using optimization models.

Changing mathematical models of business and computers

 

ON-LINE OPTIMIZATION

(IN OPERATION)

  1. Use an optimization model for pre-dispatching the energy system 24 hours in advance.
  2. Use models oriented to optimal control in real time

(energy system dispatch.

  1. Short Term Energy Trading and Risk Management (ET&RM)

Demand Side Response:

 

Planning and scheduling in heavy industries, geared towards energy efficiency, presents major challenges:

  1. Accurate flexibility modeling

Operational

  1. Production and energy management integration
  2. Optimization on multiple time scales
  3. Decision making under uncertainty

 

To conclude, we must update our infrastructures, models, supply chains and processes inside and outside our organization. That everything we do is for the benefit of all, that clean resources are used as mentioned by Engineer Velasquez that we should give more strength to "Green hydrogen, as it is the future of the Oil Industry, because large refineries will produce green hydrogen and large pipelines will transport Green Hydrogen.since it does not pollute and brings better benefits."

All this requires technological transitions, not only will change the technology of your work, your area, your processes, but your mindset and your entire environment will also be influenced by this change. Your organization requires a deep, effective and above all sustainable transformation.

We would like to thank the attendees for their great interest, willingness and participation.

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