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Peter Steele

@petersteele

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Data geoscientist specializing in machine learning for geological challenges.

United States

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What I'm looking for

I seek opportunities that challenge my analytical skills and foster growth in data-driven exploration.

I am a geologist with over 6 years of experience leveraging statistical analysis and machine learning to analyze large-scale geological and geophysical datasets. My proven ability to manage the full lifecycle of data-driven exploration projects, from data integration to model development and deployment, has equipped me to tackle complex challenges in mineral exploration.

At Hess Corporation, I apply statistical and data analysis techniques to 3D seismic and well-based datasets, identifying and de-risking exploration targets in complex geological settings. My role involves developing data analytics tools that enhance analytical capabilities and conducting comprehensive evaluations of play elements to prioritize exploration opportunities. I am eager to apply my quantitative skillset to new challenges and contribute to securing critical commodities.

Experience

Work history, roles, and key accomplishments

Current

Geologist, Gulf of America Exploration

Current

Hess Corporation

May 2022 - Present (3 years 3 months)

Applied statistical and data analysis techniques to 3D seismic and well-based datasets to identify, mature, and de-risk exploration targets in complex geological settings. Managed the development of data analytics tools, bridging the gap between exploration geoscientists and software development teams to enhance analytical capabilities.

Statistical Analysis Data Analysis Well Based Datasets Risk Assessment Data Analytics Software Development

Foundation Geologist - Embedded on Data Science Team

Hess Corporation

May 2019 - Present (6 years 3 months)

As a core member of a dedicated data science team, developed and implemented custom machine learning solutions for geoscience challenges, directly supporting asset teams and subject matter experts. Led a key project to automate seismic interpretation by designing and training a deep learning network to identify and map key horizons from a limited set of labeled 2D seismic lines, significantly acce

Machine Learning Deep Learning Data Pipelines Well Logs Regional Exploration Analysis Geosciences Data Integration Workflow Automation

Geologist Intern

Hess Corporation

Jun 2018 - Present (7 years 2 months)

Integrated and interpreted regional well and seismic data to build a comprehensive geological model of an offshore basin. This involved extensive data analysis to map play elements and predict reservoir presence and quality.

Well Data Seismic Analysis Data Integration Offshore Basin Analysis Play Element Mapping Data Analysis

Education

Degrees, certifications, and relevant coursework

DeepLearning.AI

Deep Learning Specialization, Deep Learning

Completed a specialization in Deep Learning, covering neural networks, improving deep neural networks, structuring machine learning projects, convolutional neural networks, and sequence models. This online program enhanced skills in applying advanced machine learning techniques.

University of Utah

M.S. Geology, Geology

Obtained a Master of Science degree in Geology. This program provided advanced knowledge and research experience in geological sciences.

College of William & Mary

B.S. Geology, Geology

Earned a Bachelor of Science degree in Geology with a minor in Mathematics. This program provided a strong foundation in geological principles and quantitative analysis.