Principal Petrophysicist with 22 years of experience in wireline logging, data processing,and integrated studies, with growing expertise in data science and machine learning applications within the same domain. My career at SLB has spanned various business segments, providing me with a comprehensive understanding of the E&P lifecycle. I have led and participated in numerous reservoir characterization projects, developing expertise across diverse geological environments and overcoming complex petrophysical challenges. I am a recognized expert in the Techlog wellbore platform, and over the past two years, I have further honed my skills in Python scripting, alongside gaining extensive experience with Spotfire and Dataiku software. My technical acumen and strategic insight enable me to deliver innovative solutions that drive data-driven decision-making and enhance reservoir performance. Additionally, I have successfully supported the wellbore digital solutions business development in Colombia, Peru, Ecuador, UAE, Pakistan, Oman and Iraq.
Leading and managing complex, multidisciplinary projects, including planning, execution, and delivery within set timelines and budget, while also supporting business development activities by contributing to proposals, client presentations, and the identification of new business opportunities
Key Projects and responsabilities
O&G-Specific Knowledge
ML/AI Understanding
NExT Certified Instructor
Creativity
Costumer Service Orientation
Teamwork and Collaboration
Business Development
Techlog Platform
PAPER: SPWLA-2023-0086: Novel Approach For Machine Learning Assisted Carbonates Reservoirs Saturation Heigh Modeling And Automated Pore Network Characterization’. This will be presented at the SPWLA, June 2023. Nader Gerges (ADNOC), Luisa Ana Barillas Cortez (SLB), Midhun Madhavan (SLB), Sushmitha Kuruba(SLB), Lulwa Almarzooqi(SLB), Gennady Makarychev (SLB), Alaa Maarouf(SLB), Christophe Darous (SLB), Hussein Mustapha (SLB), Chakib Kada Kloucha (ADNOC)
PAPER: SPE-212612-MS: Novel approach for automated pore network characterization and machine learning assisted capillary pressure modeling for an improved water saturation modelling in carbonate reservoirs which will be presented in the 2023 SPE Reservoir Characterization and Simulation Conference and Exhibition (RCSCE) N. Gerges (ADNOC), L. Barillas (SLB), G. Makarychev (SLB), A. Maarouf (SLB), M. Madhavan (SLB), L. Almarzooqui (SLB), S. Kuruba (SLB) PAPER: SPE-123456-MS: A Workflow to Analyze Vertical Formation Heterogeneity and Optimum Geological Grid Layering Using Petrophysical Logs, which was presented in ADIPEC 2022 Exhibition & Conference N. Gerges (ADNOC), G. Makarychev (SLB), L. Barillas (SLB), A. Maarouf (SLB), M. Madhavan (SLB), S. Gore (SLB) PAPER: SPE-211719-MS: Machine-Learning-Assisted Well-Log Data Quality Control and Preprocessing Lab, which was presented in ADIPEC 2022 Exhibition & Conference N. Gerges (ADNOC), G. Makarychev (SLB), L. Barillas (SLB), A. Maarouf (SLB), M. Madhavan (SLB), S. Gore (SLB), L. Almarzooqui (SLB) UAE RESERVOIR SYMPOSIUM 2021 ("Significant Improvement of ADNOCs Petrophysical Groping workflow through ML application")(Reservoir Symposium UAE 2021)(May 18th 2021) L. Barillas (Schlumberger) PAPER: SPE-196677-MS: Complex Carbonate Rock Typing and Saturation Modeling with Highly-Coupled Geological Description and Petrophysical Properties, which was presented in the Reservoir Characterization and Simulation Conference and Exhibitions. E.K Binabadata (ADNOC Offshore), C. Darous (Schlumberger), L. Barillas (Schlumberger) INTERNAL PUBLICATION: Technology, Domain Expertise and Innovative Business Model to offer an Integrated Reservoir Characterization Solution for Llanos 58 Field @ https://www.eureka.slb.com/Get/41128 B. Chichiricco (Schlumberger VEN), E.R. Gonzalez, M.F. Hurtado, L.A. Barillas, J.E. Torres, R. Hernandez (Schlumberger) PAPER: SPWLA Jun 2017: Conglomerates evaluation at Lisama formation: assessing new hydrocarbon plays in Colombia. An example from, Middle Magdalena Basin L. Barillas (Schlumberger), Alejandro Palencia (Vetra) SPWLA Colombia Chapter Event Presenter Nov 2017: Conglomerates evaluation at Lisama formation: assessing new hydrocarbon plays in Colombia. An example from middle Magdalena basin L. Barillas (Schlumberger), Alejandro Palencia (Vetra) SPWLA Colombia Chapter Formation Evaluation Technical Forum, April 2016: Optimized Lithofacies Definition Through Hetorogenous Rock Analysis (Hra) And Correlation With Core And Productivity Potential L. Barillas (Schlumberger), Nelbett Marfisi (Ecopetrol) CGP RESERVOIR SYMPOSIUM 2015 ("Predicting production potential in the Colombian’s Shale Reservoirs with the Multifrequency Dielectric Dispersion, Nuclear Magnetic Resonance and Heterogenous Rock Analysis")(Reservoir Symposium CPG 2015)(May 20th 2015) L. Barillas (Schlumberger) CGP RESERVOIR SYMPOSIUM 2014 ("Techlog – A unique solution to find sweet spots at the wellbore scale in the Ecopetrol Shale Reservoirs")(Reservoir Symposium CPG 2014)(May 2014) L. Barillas (Schlumberger) SPWLA Colombia Chapter Event - Software for Formation Evaluation: Techlog Unique Solution for Unconventionals. (Nov 26th 2014) PAPER: ACIPET Nov 2013: Application of petrophysic workflows for unconventional reservoir in the Valle Medio Magadalena basin, Colombia M. Cantisano (Ecopetrol), S. Céspedes (Ecopetrol), L. Barillas (Schlumberger) VTT RESERVOIR SYMPOSIUM ("Additional Reserves found with Rt Scanner, OBMI ADN Reinforced the Results") (Reservoir Symposium VTT 2008 ) (May 30th 2008)