- Reservoir Simulation, Data Science and Machine Learning Lab, Petroleum Engineering Department, Colorado School of Mines
- Led a multidisciplinary team to build a robust numerical model for naturally fractured reservoirs in the Gulf Coast Basin which
- Executed the development and optimization of a novel physics-informed deep neural network model (PINNs) to accurately
- Developed a Bayesian neural network model to predict thermo-fluid behavior in geothermal reservoirs, resulting in a 25
M
Mohammed Mahmoud
Machine Learning Research Engineer
August 2022 - July 2024
R
Reservoir Engineering Division
Data Scientist
February 2020 - July 2022
P
Production Engineering Analytics
Technical Engineer
March 2019 - February 2020
Skills
Ability to MultitaskApplied MathematicsArtificial IntelligenceArtificial Neural NetworksAutomationCausal InferenceChemistryCisco Nexus SwitchesCommunication SkillsComputational Fluid DynamicsComputer ProgrammingConsultingData AnalysisData IntegrationData ScienceDecision Making SkillsDrilling OperationsEclipse (Software)Event ManagementFluid DynamicsForecasting SkillsGeologyGeothermal EnergyImage AnalysisImagingInnovationKerasKnowledge of AdvertisingKnowledge of EngineeringKnowledge of StatisticsLeadershipMachine LearningManufacturing EngineeringMATLABMicrosoft ExcelMicrosoft OfficeMicrosoft Visual StudioMultidisciplinary ApproachNetworking SkillsNetwork ModelOil and GasOil FieldsPetroleum EngineeringPhysicsPower BIPredictive Data AnalysisPredictive MaintenancePresentationsPreventive MaintenanceProblem SolvingPython (Programming Language)RadiologyResearch SkillsReservoir EngineeringSimulationsSQL DatabasesStrategic ThinkingTeachingTeam WorkingTechnical SkillsTensorflowTime ManagementZotero