We are an engineering research and development company. XploroilgasAI is a first-of-its-kind AI tool designed to transform seismic data into reservoir economics. This tool stands out by leveraging physics and Artificial Intelligence to accurately predict three essential reservoir characteristics: porosity, permeability, and SWI from seismic data. Its main feature is the seismic velocity model, which has recently been enhanced with FWI processing. These reservoir values are vital for assessing petroleum economics – oil-in-place, production potential, well-productivity – and determining optimal well locations making XploroilgasAI essential for investors seeking new oil and gas opportunities. Trained and tested in over 100 oil and gas fields worldwide, including sandstones and carbonates, across various regions like the Gulf of Mexico, US Wilcox, Mexico, Brazil, North Sea, Middle East, Caspian, Australia, Africa, and Venezuela. XploroilgasAI relies strongly on physical principles to identify whether a target is a gas accumulation or liquid: oil and water or water. With the calculated reservoir parameters, the potential oil-in-place (OIP) of the prospect can be directly determined. Similarly, production potential, well-productivity, and the required number of development wells for the prospect can be analytically accessed. XploroilgasAI is suitable for frontier and nearby field exploration prospects, as well as appraisal wells. It provides metrics derived from seismic data, rather than approximations from analogues. Even when wells are present, seismic data provides spatial reservoir values in contrast to the point values obtained from wells. Additionally, XploroilgasAI detects gas accumulations and commercial oil.

The Team

The founders of XploroilgasAI have been actively engaged in machine learning research and technology since 2015. Their primary focus is the oil and gas industry, especially on applications related to reservoir engineering and exploration. In 2016, our first publication titled “A Neuro-Fuzzy Approach to Screening Reservoir Candidates for EOR” utilized neural networks to identify learning patterns from a global dataset comprising 365 active field EOR (tertiary oil recovery processes) projects. This was succeeded by a second publication, co-authored with our team member Darshil Dharod, which continued the EOR screening theme but complemented the fuzzy tool with a simpler Minimisation of Regrets Model (MMR). These initial successes culminated in the creation of the comprehensive application, XploroilgasAI, which focuses on the critical aspect of exploration: deriving essential reservoir parameters from seismic data to assess the economic feasibility of drilling the first well (Xwell) in an exploration prospect. The current scope of oil and gas exploration extends to ultra deep water depths of 34000 feet with the cost of an Xwell surpassing $150 million. Exploratory well success remains below 50%. XploroilgasAI is designed to improve these outcomes.

Dr. Rafael Sandrea

Founder and president of IPC Petroleum Consultants Inc. of Tulsa, USA. He holds a PhD (1966) in petroleum engineering from Penn State University. He has co-authored two books, Dynamics of Reservoirs under Gas Injection (1974), and Mexico History of Exploration (2017), and over 40 technical papers (ipc66.com)

Darshil Dharod

President of XWellsExpertise and co-founder of Coulomb Litech Pvt Ltd, both of Mumbai, India. He holds a B.tech (2015) in Civil Engineering from Indian Institute of Technology Kanpur. He has co-authored a publication with Dr. Rafael Sandrea. Previously he was Field Service Manager at Schlumberger.

Dr. Martin Essenfeld

Founder and president of EGEP Consultants, Columbia. He holds a PhD (1970) in Petroleum Engineering from Penn State University. He has decades of experience in reservoir management and has co-authored several publications with Dr. Rafael Sandrea.

Ivan Sandrea

Co-founder and until recently, CEO of Westlawn Offshore, Houston, USA. He holds a MSc (2000) in Geology and MBA (2001) both from Edinburgh University, UK. He has worked in 12 countries and has a track record of success with oil & gas startups.

Specializations

XploroilgasAI provides tailored adaptations for diverse geologic settings, such as the Wilcox Trend. Upon request, estimates of Production Potential (qmax), Well-Productivity (b/d), and the required Number of Development Wells for the Prospect can be provided.

Optimal well location: Applying multiple iterations of XploroilgasAI across the prospect area generates maps of porosity, permeability, and Swi, which are instrumental in identifying the optimal locations for drilling Xwells and appraisal wells.

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