Contact Information

  • ABHINANDAN KOHLI
    (206) 530-8590

Description

An analytical and meticulous Petroleum Engineer with 10 years’ experience in Petrophysics, Geology and Development Planning. Experienced in Data Science/ML for data processing and predictive analytics. I am experienced in data visualization in Power BI, Spotfire and Tableau. In my current role, I apply machine learning algorithms to analyze geological data optimizing the recovery of reserves resulting in current and future savings of 3 million USD a year.

Seeking to leverage my deep knowledge of subsurface clubbed with big data modeling skills to help increase revenue and optimize returns in your esteemed organization.

Industry

E&P

Location

Houston, Texas

Experience

SENIOR PETROPHYSICIST
Shell US | Sep 20 – to date
• Built a program for interpretation of log data and facies prediction using the 2D and 3D indexed and probabilized self-organizing map.
• Delivered AI-based solution for predictive analysis and volume forecasting for anomaly detection and predictive maintenance.
• a-SME for PP-Integrated Reservoir Modelling.
• Project Lead for abandonment and new energies project with a total expenditure of € 3.5 mln.
• Coaching the graduates and subsurface staff on Petrophysics, Geology and WRFM areas.

DATA SCIENCE OPPORTUNITY LEAD
Shell Netherlands | Jan 19 – Aug 20
• Lead the interpretation of well data and facies prediction for derivation of petrophysical parameters using The Kohonen algorithm.
• Built a program using hierarchical clustering with dendrogram outputs to predict the optimal number of facies.
• Lead multiple ML/AI initiatives across Shell business verticals
• Created a training program for Shell staff to use machine learning algorithms to influence adoption of AI/ML techniques to execute projects (using internal resources or external vendors) and deliver business growth.

DATA SCIENTIST
Shell India, Netherlands | Mar’ 18 – Dec’ 18
• Deep dive of data analysis using PCA, LDA, Spectrum Analyser and MCA for many data types.
• Reconstruct missing or poor-quality measurements correcting for bad hole conditions, environmental effects, acquisition problems using multilayer perceptron technology KMOD.
• Reduce systematic error for the subsequent data pattern by using the learn-validate-apply model.
• Coach subsurface community on Multi-scenario data modelling.

LEAD DOMAIN PETROPHYSICIST
Shell Netherlands | Jun’ 16 – Feb’ 18
• Lead Domain Data Scientist for Fluid Model and Saturation Height Model implementation in Baker Hughes Jewel Suite’s software.
• Image data Interpretation using parameter prediction and log reconstruction using multilayer perceptron technology.
• Developed tool to make automated, data-driven decisions to improve planning and decision making with embedded economic runs.
• Created enterprise-wide software application via cloud computing to model subsurface data.
• Prepared reports, presentations, dashboards, and/or data visualizations for various audiences –up to and including the executive level.

Awards and Certifications

AWARDS
SPE Star Scholar Award (2010)
SPE Kazakhstan Best Paper (2011)
SPE Young Member Award (2015)

PUBLICATIONS
• 185387-MS SPE - Data Integration Helps in Identifying New Waterflood Opportunities in Western Desert
• 188594-MS SPE – Saturation Data Modelling Under Complex Fluid Fill History - Drainage and Imbibition
• SPE Poster - Optimizing Data Appraisal Strategies for Tidal Clastic Reservoirs in Western Desert, Egypt
• SPWLA 2020 - The Value of Data Integration in a Complex Well Scenario: A case Study from the West Netherlands

Skills

• Domain Expertise : Advanced PP workflows, Clastic and Carbonates Model Build, Open and Cased hole Log Analysis
• Python: NumPy, Pandas, Matplotlib, Seaborn, SciKit-Learn
• Machine Learning: Multi-linear regression, Decision trees & Random forest, Clustering techniques, Gradient boosting, Bayesian networks, Time series forecasting, PCA, LDA, KMOD
• Business intelligence: SQL, Tableau, Power BI, Excel
• Mathematical modelling and optimization: LP, MIP, Genetic Algorithms, Metaheuristics
• Other skills: R, NLP, Hypothesis Testing, Forecasting, Data Mining, Text Mining
• Software: Techlog, Rokdoc, Petrel, Jewel Suite, Plato

Education

EDUCATION

BTECH DEGREE
(Petroleum Engineering)
Indian School of Mines, Dhanbad, India (2007 – 11)

Project Management Program (Level D)
Project Management Institute
(Oct 2015)

Python for Everybody Specialization
University of Michigan
(Dec 2020)