Podcast # 28, The Preliminary Specification
First, the bots approached it objectively. Second they noted its radical nature and finally saw the bigger picture the Preliminary Specification is designed to solve. Well worth the time spent.
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The unfortunate reality for People, Ideas & Objects is even a small financial gain would improve our outlook. This has consequences for producers, as we have no vested interest, responsibility or obligations to them. Software companies like ours face significant disruption. If we don’t adapt now, we squander resources. We’ve fortuitously positioned ourselves to realize this AI future while resolving oil & gas industry’s greatest business challenge. Who’s ready to join us?
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Combining the Performance Evaluation and Statistics & Analytics modules into one podcast turned out surprisingly good. The discussion sets in place the necessity of having the data’s structure and integrity established in the system first and foremost. Otherwise garbage in, garbage out rules. Consequently members of either the Joint Operating Committee or producer firms will be able to analyze that data with confidence and consistency.
And there’s more. This data that’s been interpreted by the user is then able to be used in the Artificial Intelligence and Business Operations Management modules. Where the user may be able to capture unique competitive advantages from a deep pool of data.
The podcast is presented well and captures the spirit of these modules in the overall Preliminary Specification.
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People, Ideas & Objects do not concern ourselves with whether producers' officers and directors choose to listen to us or continue their "muddle through" ways. However, we will point out the deadlines we believe they should concern themselves with: September 30 and October 31, 2025. Actions to date, since mid-August 2025, reflect that nothing will be done. We see only one visible action: the silencing, or attempted silencing, of People, Ideas & Objects. The September 30, 2025, deadline is, of course, the third-quarter reporting requirement for all public companies. Producers will report on their third-quarter activities at this point, and these reports should include the discovery of the tangible and quantifiable leakage of natural gas revenues.
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Artificial Intelligence holds far greater commercial promise than the novelty of conversational tools alone. Perplexity’s orientation toward business differentiates it from its peers, yet the real obstacle for AI in enterprise remains the condition of the data itself. In oil and gas, accounting information is functionally unusable at the Joint Operating Committee (JOC) level, forcing operations to rely instead on reserve reports and regional cost estimates that only approximate reality.
Within this environment, Artificial Intelligence costs and success are often inverse of one another. That tension will only sharpen as industries enter their inevitable “bright shiny object” stage of AI adoption. Enterprises today report 85% of corporate ERP systems remain on prem. It's not that Cloud use is a requirement of AI use, it just shows the speed at which corporate America falls short of their claims.
The Artificial Intelligence Module of People, Ideas & Objects addresses this by embedding fundamental cost discipline into its design. It does so by pooling development and infrastructure costs across producers and establishing common frameworks that can then be extended and adapted by each firm’s distinct competitive advantage. This ensures AI delivers real value—grounded in accurate reporting and sustainable economics—rather than merely absorbing resources.
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It's curious that after I bring up the Shell vs. Venture Global arbitration decision and its reporting implications for all producers, X is now reporting a ghost ban! Google suggests various reasons for being ghost banned, but I find the "mass reporting" reason particularly interesting and likely responsible.
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The Research & Development and Knowledge & Learning modules are designed to align scientific and technical capabilities with the locus of decision rights. Within the industry, that locus is the Joint Operating Committee, which integrates legal, financial, operational decision making, cultural, communication, strategic and innovative frameworks. The Joint Operating Committee embodies the property partnership, and the Knowledge & Learning module aggregates and presents the explicit technical knowledge of each producer within the Joint Operating Committee—making the collective expertise available for decision-making.
People, Ideas & Objects shifts knowledge to where decisions are made, directly addressing the primary operational accountability gap that exists today. Consider the drilling of a well: the operator proposes a program, the Joint Operating Committee votes, and if the approval threshold is met, the operator proceeds. If the well fails, who is responsible—the operator or the Joint Operating Committee? The Preliminary Specification resolves this ambiguity. The Research & Capabilities and Knowledge & Learning modules movement of the knowledge to where the decision rights are held ensures that outcomes are properly attributed, not to penalize individuals, but to capture learnings, avoid repetition of mistakes, and replicate successes.
This structure also mitigates the chronic engineering resource constraint facing the industry. Today, each producer maintains just-in-time engineering capacity across all their properties—an approach that is costly and ultimately unsustainable. By reorganizing around specialization and division of labor, the industry can scale capabilities more efficiently, ensuring commercial viability while reducing duplication of effort. Specialization on particular scientific capabilities, each producer contributes that high value knowledge of theirs to the Joint Operating Committee. Generic capabilities can be augmented from the Resource Marketplace module.
The accompanying podcast provides further detail and explores the auxiliary aspects of these modules.
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