Joshua Gilberg

• Create regional structural maps and correlated sand bodies on well logs as inputs to reservoir models
• Developed geostatistical reservoir models to accurately estimate plume sizes for various Business Development projects.
• Collaborated closely with reservoir engineers to optimize dynamic simulations for enhanced project outcomes.
• Conducted thorough analyses of risks (above ground and subsurface) to identify low-risk CO2 sinks near emission sources.
• Performed AVO analysis to show that the CO2 plumes will accurately be monitored over time with sparse seismic sampling

• Developed and maintained a comprehensive database structure across multiple platforms and diverse data types.
• Optimized software license usage, resulting in improved operational efficiency across teams.
• Created and updated regional structural maps for Gulf Coast and Midwest to support strategic planning initiatives.
• Built conceptual reservoir models to estimate plume sizes, enabling proactive engagement with CO2 emitters.
• Provided data to various team members from various industry databases such as S&P and IHS
• Utilized ArcGIS to create/modify shapefiles for various mapping and visualization tasks
• Supported asset farm-out process by gathering necessary information and facilitating data rooms. by gathering data and running data rooms (in person and virtual)

• Managed monthly processes to predict customer energy usage in Georgia market.
• Developed machine learning model to identify customers likely to default on bill payments based on historical behavior.
• Analyzed complex data sets to identify trends and support strategic decision-making processes.
• Collaborated with cross-functional teams to create comprehensive dashboards that visualized key performance indicators.

• Completed 600+ hours of hands-on curriculum under 1:1 mentorship, culminating in 2 in-depth capstone projects.
• Developed proficiency in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

• Exploration geophysicist with proven ability to solve a wide variety of problems including: well tie analysis, amplitude analysis, fluid substitution modeling, and rock property modeling
• Performed rock physics modeling that influenced decision to drop acreage instead of drilling, saving ~$50 million
• Performed rock physics modeling that enhanced the team’s decision to drop acreage rather than drill an exploration well, saving the company ~$50 million
• Analyzed sparse datasets through amplitude analysis that convinced management to pursue prospect with potential of ~2 billion barrels of oil
• Communicated findings to peers at partner companies, department management, and company executives.

• Processing geophysicist responsible for executing the full workflow, raw field data, noise attenuation, velocity analysis, imaging, and gather conditioning. Experience in both onshore and offshore data as well as 2D and 3D surveys.
• Optimized data cleaning workflow to enhance ongoing seismic acquisition, enabling timely project completion.
• Created a new workflow to implement an algorithm resulting in a superior result when compared to competing vendors (Receiver Designing Method to Mitigate F-K Transform Artifacts: A Non-Windowing Approach Co-Author, SEG 2015)
• Designed method to evaluate seismic model quality through correlation, applying it incrementally to meet client requirements.
• Presented project progress and quality control updates to clients weekly via in-person meetings and video conferences.

600+ hours of hands-on curriculum, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. Mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.