From Seismic to Reservoir Economics — Before the First Well
Our physics-driven AI platform estimates porosity, permeability, and water saturation (SWI) directly from FWI-enhanced seismic velocity (Vp), enabling reliable economic evaluation of exploration prospects before drilling.
No more analogues when evaluating prospects — use our seismic model, which also identifies gas or oil in sandstone and carbonate reservoirs.
Powered by Full Waveform Inversion (FWI)—the most advanced form of seismic velocity imaging, often described as the MRI of the subsurface — XploroilgasAI leverages high-resolution, physically consistent velocity models that capture the true rock and fluid response of the reservoir. Built on data from 100+ global oil and gas fields, XploroilgasAI delivers fast, defensible insights for frontier, deepwater, and high-risk exploration decisions.
Exploration today targets deeper, more complex reservoirs where drilling a single wildcat can exceed $150 million. In these settings, conventional workflows depend on nearby field analogues—often unreliable or unavailable—creating significant economic uncertainty.
XploroilgasAI eliminates this dependency by working directly on the prospect’s seismic data, typically covering tens to hundreds of square kilometers. Using seismic velocity relationships enhanced by Full Waveform Inversion (FWI), the platform generates prospect-specific reservoir properties, not extrapolated well-based assumptions.
Direct estimation of Ø, k, and SWI from seismic velocity
Early identification of gas vs. liquid reservoirs
Quantitative inputs for oil-in-place, production potential, and well productivity
Applicable to both sandstone and carbonate reservoirs
Bayesian probabilistic outputs suitable for technical and investment decisions
Designed for exploration teams and investors, XploroilgasAI delivers reservoir insights directly from seismic data - supporting confident, early-stage decisions when uncertainty and capital exposure are highest.
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.
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)
President of XWellsExpertise and co-founder of Coulomb Litech Pvt Ltd, of Mumbai, India. He holds a B.tech 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.
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.
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.
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.
Target Interval Vp (ft/s)
Is the Target Sandstone or Carbonate
Geologic Age: Tertiary, Wilcox Trend, Cretaceous, Jurassic, Triassic, Permian.
Estimated Target Depth (ft) - from rotary table for onshore fields; from seabed for offshore fields (Conversion: 1 m = 3.28 ft)
Is the Target located Onshore or Offshore
Water depth (ft) (For offshore fields)
Alerts
XploroilgasAI excludes coverage of Heavy oils (≤ 10 API; ≥5000 centipoise) such as those produced in the Orinoco & Canadian Oil Belts. Additionally, it does not address unconventional oil and gas reservoirs including those in the Barnett and Eagle Ford shales, and similar.
If XploroilgasAI identifies the ‘most likely gas’ for the prospect, it does not calculate its reservoir characteristics. There is no rock physics-seismic connection for gas accumulations. Our model reliably differentiates gases from liquids, but analysis becomes challenging near the cross-over line. These cases are covered in the Results section.
Interval Vp: Be sure to provide your target’s interval seismic velocity; ideally FWI velocity.
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Currently XploroilgasAI is not supported on mobile phones.
*While AI systems are not foolproof, XploroilgasAI stands out by offering an efficient, reliable, and cost-effective solution accessible directly from your desktop