SKGP Investment Research | SKGP Strategic Partners

March 24, 2026

Tectonic Plates to Global Supply Chain Fragility

Movement of tectonic plates, subduction of oceanic crust beneath continental margins, circulation of hydrothermal fluids, and the burial of organic matter under precise pressure conditions established the distribution of metals, hydrocarbons, and mineral inputs that continue to support industrial production today. Copper deposits concentrated along volcanic arcs, hydrocarbons trapped within sedimentary basins, phosphates formed in marine environments, and potash deposited in evaporative systems are outcomes of both economic demand and geological history.

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March 15, 2026

Predicting the Earth, Allocating the Frontier

Earth system foundation models are reshaping how physical environments can be analyzed, interpreted, and ultimately financed. Systems trained on large volumes of satellite imagery, atmospheric data, ocean observations, radar signals, geospatial mapping, and climate records now synthesize previously fragmented measurements into coherent representations of terrain, environmental dynamics, and surface change through time. These models convert massive observational datasets into structured inference about the physical world.

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March 1, 2026

Lifecycle Segmentation and Capital Allocation in Real Asset Systems. On structural fragmentation, stage specific risk, and discrete lifecycle positioning

A mineral deposit, a renewable energy site, an entitled parcel of land, and a consolidated agricultural platform all progress through sequential phases characterized by changing information quality, regulatory exposure, capital intensity, and operating predictability. These phases are not continuous gradients of risk. They involve stepwise transitions in which uncertainty compresses in identifiable thresholds. Capital markets, however, remain largely organized around sector specialization rather than maturity specialization. Persistent fragmentation at stage boundaries follows from this misalignment.

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February 24, 2026

Deep Learning, Geological Process Inference, and the Compression of Uncertainty in Real Asset Capital Formation

Advances in deep learning applied to mineral resource estimation demonstrate that convolutional neural networks can detect complex nonlinear multivariate geochemical patterns that materially improve grade prediction in structurally complex ore systems. Empirical results from dense production environments show that hybrid ensembles combining deep learning and geostatistical kriging outperform either method independently, improving both precision and recall while reducing false positive and false negative rates. This paper reframes these results within formal statistical learning theory and extends their implications beyond geology. Deep learning in mineral systems is not merely interpolation. It represents probabilistic inference over latent geological processes. When interpreted through empirical risk minimization, posterior updating, regularization, and generalization theory, these methods become mechanisms for compressing uncertainty. That compression has direct consequences for capital allocation, exploration financing, and dynamic sequencing of real asset development under nonstationary conditions.

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February 16, 2026

Probabilistic Inference, Statistical Learning, and Artificial Intelligence in Real Asset Capital Formation

Neural networks, probabilistic graphical models, and Bayesian updating frameworks can be interpreted as structures for representing conditional dependence structures among variables. Geological attributes influence resource continuity, which influences expected grade distribution, which in turn influences economic extraction potential. These relationships can be represented as probabilistic nodes within a structured model.

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February 14, 2026

Climate Variability and Capital Formation in Real Assets

ENSO operates through shifts in sea surface temperatures and atmospheric pressure gradients across the equatorial Pacific. These shifts propagate through teleconnections that redistribute rainfall and temperature patterns globally. El Niño phases can produce drought in certain agricultural regions while increasing precipitation elsewhere. La Niña phases can intensify rainfall and flooding in the western Pacific.

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February 14, 2026

How Geoscience Advances Are Changing Capital Formation in Mineral Exploration

A useful way to describe the shift is as a pipeline that links technical progress directly to financing outcomes. More and better data, including geophysics, geochemistry, remote sensing, and drill core measurements, feeds into stronger representations of the subsurface through spatial modeling, feature engineering, and dimensionality reduction.

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February 14, 2026

When Capital Structure, Technology, and Geopolitics Converge

The critical minerals crisis is exposing more than geopolitical tension. It is revealing a structural mismatch between how industrial assets form and how capital is allocated.

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Original research, framework development, and market analysis

Tectonic Plates to Global Supply Chain Fragility

Predicting the Earth, Allocating the Frontier

Lifecycle Segmentation and Capital Allocation in Real Asset Systems. On structural fragmentation, stage specific risk, and discrete lifecycle positioning

Deep Learning, Geological Process Inference, and the Compression of Uncertainty in Real Asset Capital Formation

Probabilistic Inference, Statistical Learning, and Artificial Intelligence in Real Asset Capital Formation

Climate Variability and Capital Formation in Real Assets

How Geoscience Advances Are Changing Capital Formation in Mineral Exploration

When Capital Structure, Technology, and Geopolitics Converge