ArrowHead Economics LLC
Oil and GasUnited States11-50 Employees
What do you need to know to make good production, transportation, conversion, and consumption decisions in commodity markets? First and foremost, you need to know forward prices, basis differentials, quantities, capacity additions, and retirements. Price lies at the top of the list of important variables for decision-making. ArrowHead gives prescient knowledge of each using our world, multiregion, multichain models: • Crudes (by assay), condensates, refineries, and refined products from resources in the ground to end use • NGLs from resources in the ground to end use • Natural gas from resources in the ground to end use • Electricity from fuel to end use • Storage (gas, electricity, and liquids) • Lithium from resources in the ground to end use • Rare Earths from resources in the ground to end use • Water from watershed-reservoir-transport-desal-consumption, calculating a price all along the way. • Other critical materials including cobalt, copper, natural graphite, nickel, and fertilizer (comprised of ammonia, phosphate, and potash). Producers don’t drill their own holes; drillers do it for them. They get lower cost, better holes! Companies don’t build or run models. They contract ArrowHead to do it. They get lower cost and better results customized to their decisions. (Companies may run themselves under license.) Dr. Nesbitt has published Bayesian Linear Regression, a complete text on univariate and multivariate linear regression, and taught the course at Stanford. The method pertains not only to regression problems but also to Bayesian networks, a key AI technique. ArrowHead does data analysis and forecasting using the book and software. Dr. Nesbitt is an expert in Ethics, having taught “The Ethical Analyst” at Stanford for over a decade. ArrowHead offers an Ethics Training Program to help companies understand proper ethical principles and to apply them to their own decision-making. Today’s companies must demonstrate that their decisions are ethical and why
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