David Robbins Email & Phone Number

Findlay, Ohio, Us

San Ramon, Ca, Us

Responsible for a small team of data scientists reporting to multiple parts of the business, in addition to delivering technical solutions to the subsurface digital platform. I work with the mid-continental asset base to forecast production chemistry needs and deploying novel techniques for production forecasting, whilst providing technical coaching and performing managerial duties to the data scientists who report to me.

San Ramon, Ca, Us

In the Data Science & Analytics team for the subsurface platform. Coupling physics-based modelling and data science methods, I provide internal contracting and resources for subsurface technical issues ranging from carbon sequestration, unconventional asset production and exploration through to pressure transient analysis and well productivity.

Eden Prairie , Mn, Us

Responsible for building and deploying machine learning models with SparkML/scikit-learn/H2O and deploying with Kubernetes. I also built and maintained a metaheustic optimisation library for feature engineering and exploratory model analysis, which is used for both model optimisation and as a complement to exploratory data analysis for better understanding feature input space.

London, England, Gb

Reservoir Engineer for West of Shetlands Reservoir Development team. In this role I developed several digital solutions for production optimisation and reservoir management, deploying machine learning and advanced statistical techniques on highly uncertain and noisy data at scale using Python and Spark/PySpark.I was also risk and surveillance lead for field, including planning and analysis of step-rate testing and ongoing performance monitoring. I developed deep expertise and insight into water injection well performance and behaviour.

London, England, Gb

Reservoir Engineer in Subsurface Technical Centre (Simulation & EOR deployment). My responsibilities included Reservoir Engineering support for EOR deployment projects, statistical analysis of laboratory, field trial and full-field data to drive business decisions and ownership of single-well test data analysis and integration. This role included development of Monte Carlo methods to estimate asymmetrical bias in dependent variable distributions and performing large scale optimisation, in addition to performing statistical analysis of multi-variate data sets with high residual uncertainty.

Cambridge, England, Gb

Fundamental research into numerical description of low-speed, multi-phase flows relevant to trickle-bed reactors in addition to teaching and other responsibilities. Designed numerical scheme and wrote code for the simulation of two-phase flow by employing a density-based EOS solver coupled to a flux-vector splitting scheme.Teaching: Process Calculations (CET I) and Fluid Mechanics (CET IIA)

Gb

Analysis and identification of key research areas required for Carbon Capture & Storage (CCS) deployment in the short-, medium- and long-term, particularly focussing on the Yorkshire/Humberside area and areas of potential interest for the Yorkshire universities of Sheffield, Leeds, York and Hull.

CELTA-certified English language teaching to summer school students. Other responsibilities included leading administrative duties for on-site teachers, supporting activity days, supporting teaching at other sites and implementing new teaching materials.

Worked as part of a small team in catalysis testing / R&D, including identification of potential areas of deployment for a LPG steam reforming unit and creating a model to calculate adiabatic and isothermal flame temperatures. Also undertook general laboratory work such as calibration, valve / tube fitting and equipment testing.

Phd, Chemical Engineering

Meng, Chemical Engineering

Education record