Ankur Mundhra

Support clients in achieving integrated petrotechnical workflows to enhance operational decision-making. Align with customer objectives by leveraging advances in geoscience workflows. Scope of role includes:

• Responsible to close the opportunities to generate +$20M Geoscience revenue in India & Bangladesh by working closely with services team.
• Advise bespoke solutions, like prospect derisking, enable successful auction participation for Oil & Gas fields, thermal sweet spots identification for geothermal, and enhanced seismic processing techniques for enhanced imaging in thrusted regime.
• Championed machine learning-based solutions for seismic interpretation using 2.5D/3D CNN and Random Forest with embedded kriging for static modeling.

Led consulting geomodelling projects, providing reservoir characterization, geological modeling, and volumetrics analysis for clients.

Collaborated with clients to deliver customized solutions for their subsurface challenges.

• Virtual data room for Marginal fields: Data rooms with interpretation facility for Special CBM Bid Round 2022, OALP Bid Round VIII, and OALP Bid Round IX data. All the data from existing Petrel projects was migrated to DSG post data cleaning. Data was made available to investors by setting up a secure data room on the public cloud and ensuring appropriate controls to prevent data manipulation during data inspection.
• CO2 sequestration study in Cambay Basin: Supported IIT Mumbai team with the study to carry out plume modeling and understand possible traps once CO2 is injected. Workflow support for sparse spike inversion was carried out to delineate thin shale layers. Secondly, a facies model was derived based on an inversion study and was used as an input for plume modeling in Permedia.
• Reservoir Characterization of Shuaiba formation of Ruwais block: Lead Reservoir characterization for marginal field development. Primary responsibility included post-stack inversion to support facies modeling and petrophysical property population.
• Due Diligence of Alaska block, OVL: Evaluation was carried out to understand reserve estimates and possible recovery. Seismic attributes were used as a trend to compute 2D volumetrics, followed by uncertainty workflows, to estimate risking.

Geoscientist - Multi-disciplinary Teams, December 2013 - December 2019.

Reservoir characterization projects across different fields, including the Heera and Panna formations. I performed stochastic inversion, water saturation modeling, and static modeling of basement sediments. In the Kusijan Field, Upper Assam, I enhanced facies demarcation using net facies maps and proposed new appraisal well locations. Additionally, I developed a deterministic model based on genetic facies interpretation for the Kalol-X Sand in the Kalol Field and managed stochastic modeling of high porosity sandstone and tight sands in the Kalol and Mehsana Sands of Langhnaj, leading to the proposal of new appraisal wells.

Geophysical studies and field development planning, I conducted seismic interpretation, attribute mapping, and geobody studies using AVO and inversion outputs for the Ravva Field, which contributed to the creation of field plans and drilling campaigns. My work also included structural interpretation, static modeling, and volume estimation for identified prospects.

Play and prospect evaluation, I mapped sand tops, estimated prospect volumes, and proposed exploration locations in the EP-5 Block of Myanmar.