ABOUT

Our robust knowledge-based approach and dedication to quality and safety allow us to provide

the best-in-class engineering and innovative solutions to every part of the oil and gas industry.

Optimize Global Solutions is a leading consulting company assets and delivers a wide-ranging services in the energy, chemicals and resources sectors.

CAPABILITIES

FEASIBILITY

Appraise, select and Techno economic studies

FEED

Provide the first class services in executed feed projects in Offshore, Onshore and Refineries

ADVANCE ANALYSIS

Highly reliable dynamic modeling nad machine learning solutions

PROJECT MANAGEMENT

Project execution strategy, project control and learned lesson management

MACHINE LEARNING

Full scale project, ML based Solutions to empower operating companies gaining more insights about their real facilities performance

SERVICES

ENGINEERING
SERVICES

PROCESS SAFETY
AND RISK MANAGEMENT

PROJECT
MANAGEMENT

PROJECTS

OFFSHORE PIPELINE TO ONSHORE GOSP PLANT

Capacity Phase Execution 20,000 bbl/d Greenfield

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OFFSHORE FMP (FIELD MODIFICATION PLAN) AND FDP

Offshore FMP (Field Modification Plan) and FDP (Field Developemnt Plan) Capacity Phase Execution 300K bbl/d Brownfield

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PHA AND HAZOP ANALYSIS FOR 3 PROCESSING OFFSHORE

PHA and HAZOP Analysis for 3 processing offshore

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BLOGS

DEEP LEARNING APPLICATION IN HYDROCARBON REFINERIES

Machine learning and deep learning (ML) is an umbrella term that covers many things. In strict sense, it is using computer programs to do what intelligent humans could do, and often doing it even better. Artificial intelligence is also called cognitive science, which is the most popular computer science course now in USA and Europe.

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REFINERY SMART MODELING AND MACHINE LEARNING ROLES

Objective In this article Optimize Global Solutions presents a thorough review of how to quantitatively model key refinery processes for the crude distillation unit with an objective to balance the business needs and technology tools via the use of data science, machine learning, deep learning methods to provide an insight into operational agility to ensure.

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DYNAMIC NODAL ANALYSIS – FROM RESERVOIR TO FACILITIES

Introduction Engineering teams face a number of challenges while recovering fields and increasing capacity. Promoting integration and communication between disciplines is very useful to properly assess the performance of process facilities under normal and abnormal operation and, most importantly, to avoid the risk of unnecessary costs

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