Oscar Molina Email & Phone Number

Natick, Ma, Us

• Assist customers with the development of complex reservoir simulation cases using MATLAB and MRST. Cases include waterflooding in mature reservoirs, multi-fractured horizontal wells with geomechanics effects, evaluation of CO2-EOR in unconventional reservoirs, geologic carbon storage in large aquifers, and ensembles for optimization purposes.• Developed a web app for oil and gas production data analysis with advanced features such as automatic partitioning of regions of interest, user-defined DCA models, petroleum economic analysis, and database connectivity.• Created an oil, gas, and water production optimization workflow that processes IPR and VLP curves generated with CMG and PROSPER and automatically performs surface-to-downhole conversion for the entire network.• Assist customers with developing and deploying microservices based on Docker technology using MATLAB.• Assisted a customer with the development of a machine-learning-based workflow for predicting oil rates from an oilfield in the Middle East. Performed data normalization, feature engineering, model training, validation, and testing.• Support customers across North America, LATAM, EMEA, and APAC regions with various business aspects including consulting services, proof-of-concept engagements, and outreach campaigns (webinars, workshops, etc.).

Spring, Texas, Us

• Product manager and technical engineer lead responsible for overseeing the creation of an integrated surface-to-subsurface CO2 storage workflow in partnership with ABB.• Developed a high-performance numerical reservoir simulator specific for multi-fractured horizontal wells using C++ and assisted with the deployment of the simulator as a cloud microservice. Responsible for developing application programming interface (API) for Python together with the IT Team.• Performed extensive production data analysis from various unconventional reservoirs across North America (Permian Basin, Eagle Ford, Bakken) and Argentina (Vaca Muerta), and advised customers on refracturing opportunities and management of pressure-drawdown in stress-sensitive reservoirs.• Together with the customer, we developed a stochastic optimization algorithm in Python to reduce uncertainty in key factors in unconventional reservoirs such as average fracture dimensions, near-fracture permeability and SRV conductivity, and per-region permeability moduli (see SPE 206152).

Baton Rouge, La, Us

• Created computational fluid dynamics model (CFD) with ANSYS CFX and FLUENT to analyze sand migration in high-rate gas wells in the Gulf of Mexico. This research work was sponsored by Shell E&P USA (OMAE2015-41671).• Developed mathematical model to detect fault reactivation and characterize improved fault transmissibility using pressure-transient analysis considering pressure-dependent fault properties (2018WR022872).• Created semi-analytical model for multi-fractured horizontal wells that incorporates the impact of region-based pressure-dependent permeability on well performance (s11242-017-0871-7).• Created pressure-transient analysis model that can detect fracture hits and estimate the degree of interference between multiple MFHW without the need for shutting in any of the wells (URTeC 2019238, SPE 185765).

Aberdeen, Gb

• Sized and selected multi-stage centrifugal pumps (API 610 compliant) for key pipelines by means of dynamic pipeline simulation with SPS.• Promoted the installation of variable frequency drives (VFD) in five critical pumping stations which resulted in an 55% saving in operational costs.• Used static and dynamic simulations to determine the maximum allowable operating pressure in various key pipelines (as per ASME B31.4) taking into consideration water hammers, leaks, and other dynamic events.

Designed and evaluated performance of improved water-based drilling fluids for both onshore and offshore wells. Designed completion fluid systems for offshore wells that required high mud weight. Responsible for gathering operational data from drilling rigs and submission of daily reports to customers.

• Optimized the conceptual design of a subsea pipeline network which resulted in 10% increase in pipeline throughput.• Used process simulation software (HYSYS) to increase the throughput of an oil-water separation plant by 25%, which enabled the processing of 150,000+ barrels of oil with high salt concentration ahead of schedule.

• As a maintenance engineer, I was responsible for keeping the availability of field equipment above 90%.• As a project engineer, I was responsible for managing projects for well testing, artificial lift system, storage tanks and surface equipment, and flow lines operations in Palagua Oilfield.

Master Of Science - Ms, Computer Science

Doctor Of Philosophy (Phd), Petroleum Engineering

Master Of Science (Ms), Petroleum Engineering

Bachelor Of Science (Bs), Mechanical Engineering