Transform seismic uncertainty into investment-grade exploration opportunities through physics-guided prospect validation and machine learning.
Every insight is grounded in peer-reviewed geophysics, validated against real subsurface data, and enhanced through machine learning.
Rock physics modeling and elastic property inversion grounded in Zoeppritz equations and Gassmann fluid substitution.
Machine learning models trained on validated subsurface datasets to accelerate screening and reduce interpretation bias.
Systematic Direct Hydrocarbon Indicator analysis confirms fluid presence before commitment to drill.
Probabilistic risking frameworks deliver ranked portfolios that support capital allocation and portfolio optimization.
A proprietary six-stage workflow that integrates seismic interpretation, rock physics, AVO analysis, and machine learning into a single decision framework.
High-resolution interpretation of 2D/3D seismic volumes to identify structural closures and stratigraphic traps.
Data IngestionWell-log constrained rock physics templates quantify elastic property ranges for target lithologies and fluids.
Physics LayerAmplitude-versus-offset analysis confirms or rejects fluid-related anomalies against rock physics predictions.
Validation LayerSystematic scoring of Direct Hydrocarbon Indicators: flat spots, dim spots, amplitude conformance, and phase anomalies.
Validation LayerMonte Carlo probabilistic volume estimation and risked resource ranking across the exploration portfolio.
Analytics LayerInvestment-grade prospect reports with drill/no-drill recommendations, uncertainty ranges, and capital efficiency scores.
Decision LayerWhere conventional interpretation ends, CoreFlowDDAV™ begins — delivering a level of analytical rigor that supermajors and NOCs demand.
Multi-attribute validation across seismic, rock physics, and DHI criteria systematically eliminates high-risk dry-hole scenarios before commitment.
Low-amplitude and stratigraphic plays invisible to conventional workflows are uncovered through physics-constrained AVO screening.
Published methodologies and peer-reviewed validation give your technical and investment committees the scientific credibility to proceed.
Automated ML-assisted screening compresses the evaluation cycle from months to weeks, enabling faster portfolio turns and competitive advantage.
CoreFlowMC's methodology has earned recognition from the energy industry's most respected institutions and peer-reviewed publications.
Strategically positioned to serve high-growth exploration regions where the combination of underexplored acreage and digital adoption creates maximum opportunity.
CoreFlowDDAV™ has been applied to real basins and real prospects — delivering quantifiable uplift in exploration confidence.
Integrated AVO analysis and rock physics calibration identified a bypassed deep Miocene prospect previously dismissed by conventional interpretation.
Physics-constrained screening revealed a Class IIb AVO anomaly in a mature block where low amplitudes had previously masked a viable hydrocarbon column.
Probabilistic risking of a 12-prospect portfolio using Monte Carlo simulation delivered a ranked drill queue that maximized risked NPV per dollar of capital.
CoreFlowMC is structured as a Delaware C-Corp combining a scalable SaaS platform with high-value technical services — designed for venture investment and global expansion.
Connect with our exploration science team to see how CoreFlowDDAV™ can transform your seismic data into investable intelligence.