Alessandro Pinho

Member of the High Efficiency Group, a multidisciplinary team dedicated to transforming wellservice operations through the implementation of best practices in well completion, safety, and operational efficiency. Key Achievements: • Reduced average well failures from 38 to 26 per month (-32%), significantly improving operational reliability. • Introduced new artificial lift technologies and led the standardization of corporate technical procedures. • Optimized MTBF and run-life through integration of engineering, data, and field operations. • Provided technical leadership in the performance analysis of artificial lift systems (ESP, PCP, SRP). • Promoted innovation, safety, and performance excellence across production assets

Lead the production engineering team and artificial lift specialists for Bahia and Potiguar basins. Key Achievements: • Developed and implemented optimization and reliability improvement strategies. • Managed operational KPIs and cost efficiency programs. • Drove cross-functional collaboration between engineering, field operations, and automation.

Lead the engineering team during the transition and startup of the Miranga Cluster, ensuring continuity, reliability, and production growth. Key Achievements: • Increased production by 60% in six months through optimization programs. • Implemented the OGPMS Production Management System to enhance visibility and compliance. • Coordinated wellservice budgeting and cost control to extend well run-life. • Mentored and coached production engineers in field optimization and data-driven decisions.

Lead production engineering and operations for the Riacho da Forquilha (RFQ) asset, focusing on production optimization and reliability. Key Achievements: • Implemented a culture of continuous optimization and best completion practices. • Reduced equipment failure rates and improved MTBF across producing and injecting wells. • +95% production increase after 18 months of operation transition. • Trained and mentored new engineers in production and operations management.

Served as Lead Production Engineer for the Riacho da Forquilha (RFQ) asset, implementing a production optimization culture through well performance analysis and completion best practices. Key Achievements: • Implemented a structured production optimization process, integrating engineering analysis and field operations. • Established budget and cost control models for wellservice and chemical injection operations. • Ensured consistent application of best completion practices, reducing failures and improving reliability. • Led training and development of new production engineers within the operations team, fostering a culture of technical excellence and continuous improvement.

Provided production engineering support for mature oil fields, focusing on performance optimization and operational integrity. Key Achievements: • Defined well completion designs to maximize run-life and MTBF. • Monitored well tests, production performance, and artificial lift systems. • Improved operational reliability through root-cause analysis and optimization initiatives.

Responsible for conceptual, basic, and detailed design of primary oil processing facilities. Key Achievements: • Developed engineering documentation (calculations, PFDs, datasheets, specifications). • Modeled and simulated water injection and production networks. • Evaluated vendor proposals and supervised project execution in the field. • Participated in HAZOP and Preliminary Risk Analysis (PRA) sessions.

Supported process design activities for engineering projects in the Oil & Gas and petrochemical sectors. Key Achievements: • Participated in projects for Petrobras, Transpetro, and ITF Chemical. • Developed process flow diagrams (PFDs), datasheets, and calculations. • Collaborated with multidisciplinary teams for design optimization.

Conducted research on modeling and simulation of polymeric systems, focusing on process optimization and material development. Key Achievements: • Developed and optimized models for polymeric materials. • Supported academic research on computational methods and process simulation.

Certificação Black Belt em Lean Six Sigma

Pós-graduação na área de Engenharia de Petróleo.

The project involved building differential equations describing key physical and chemical phenomena — including polymerization kinetics, mass and energy balances, and heat transfer — to analyze reactor performance, predict conversion rates, and optimize operating conditions. The model was implemented computationally and validated with experimental data from Braskem. Application: Provided technical support to Braskem’s process engineering team by enhancing process understanding and enabling optimization of the industrial PVC reactor.