21st Century Markets - Our User Community, Podcast # 36

 As I mentioned in Tuesday’s blog post, the two Artificial Intelligence hosts distance themselves from the content of the paper I published, largely due to the direct criticism directed at the officers and directors of producer firms.

Over the next few years, the scale and depth of the destruction authored by these individuals will become increasingly apparent. What will also become clear is the inadequacy of the industry’s response. Under normal circumstances, when an industry is called upon to step up its effort and deliver, it would be expected to leverage the value accumulated over prior decades. That accumulated value would provide the foundation from which new opportunities could be pursued and incremental value realized.

The difficulty with oil & gas is that there is no remaining value available to leverage. It has been squandered, dissipated, and leaked out of the industry.

Producers appear to believe they will simply resume normal operations once investors back the money trucks up to the loading dock again. What they do not appear to understand is that investors now expect profitable organizations. How profitability is achieved, why it is necessary, and how it is sustained still seems to escape them. Confident in their existing outlook, producers continue to believe that changes to their overhead methodology or organizational structures are unnecessary. The language of “building balance sheets” and “putting cash in the ground,” along with other less offensive variations of the same thinking, will likely experience a resurgence in popularity.

Synallagi’s position is different. In a capital-intensive industry such as oil & gas, capital should be the predominant cost passed to the consumer through the commodity price. If a producer’s Property, Plant, and Equipment balance were reduced to $0.00, that would not only be regulatorily compliant; it would also indicate that the producer had become highly competitive. There would be no remaining capital cost to price into the commodity. All production would be profitable. And a producer would have the independence of thought to pursue their own direction.

People, Ideas & Objects believes it is in producers’ best interests to ensure their capital performs on a basis competitive with the North American capital markets. When capital is properly costed into the commodity price, the cash incurred to secure the asset is returned to the producer. That capital can then be redeployed repeatedly, pay dividends or retire debt. Profits are the hard work of determining what performs, how to make it perform, and what does not perform. In other words, actual, factual accounting is a tool for engineers and geologists to commercially tune their projects performance.

The other aspect of the podcast that requires clarification is how Synallagi treats capital. At 19:18 in the podcast, the female voice states:

“Capital must be recognized, passed through to the token holders and recouped quickly so it can be redeployed back into the economy.”

If I were rewriting that script, it would read:

“Capital must be recognized, passed through to the consumer, and redeployed back into the producer firm for capital expenditures, dividends, and the retirement of debt.”

The distinction is material. The capital cost is ultimately borne by the consumer, who pays the full replacement cost of the commodity. Token holders, as described in the podcast scenario, would not incur that cost. Nor would they be interested in an investment structure that required them to pay twice, only to receive the 1% return described by the presenter. The actual return to token holders would depend on their skill, judgment, understanding of oil & gas, and historical costs.

Those are the podcast errors that should be noted.

The practical difficulty with NotebookLM is what I would call the 95% rule. It may get 95% of the material correct on the first run. However, when a second version is generated, the system often assumes the first version needs to be reinterpreted. It then moves in a different direction, where the error rate can increase rather than decline. For that reason, it is often necessary to accept the initial run, correct the material points manually, and recognize the immense value of the tool despite its limitations.

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Podcast # 34, Artificial Intelligence Part II

 Last week, Oracle hosted its annual conference, now aptly named Oracle AI World. While there were no major product releases beyond Oracle AI Database 26ai, the event focused on integrating Artificial Intelligence across their product line, particularly in Oracle Cloud ERP (also known as Oracle Fusion ERP), which forms the basis of our Preliminary Specification.

The name People, Ideas & Objects is inspired by Professor Paul Romer’s Nobel Prize-winning new growth theory, which emphasizes sharing non-rival costs. Object-based software is the ultimate expression of this concept. As the owner of Java, Oracle developed Fusion ERP as the first ERP system written in Java. Consequently, People, Ideas & Objects benefit from the AI features introduced in these Fusion ERP and database updates.

Larry Ellison’s keynote presentation, as always, offered compelling insights. He highlighted that current LLMs primarily utilize public data, whereas the majority of private or corporate data resides on Oracle Databases. With Oracle AI Database 26ai, users can activate a feature that allows their private data to be incorporated into the LLM they are using. This feature will be particularly valuable to North American oil & gas producers seeking to broaden their analysis and combine their private data with public data. It is important to note that this process does not publish the firm’s private data; it only accesses what is necessary to resolve the prompt query, addressing initial confusion about data publication.

Oracle AI Database implements NIST-approved quantum-resistant algorithms (ML-KEM) to encrypt data-in-flight. Combined with the existing support for quantum-resistant encryption for data-at-rest, Oracle AI Database’s data protection approach is designed to prevent hackers from harvesting organizational data now and decrypting it using quantum computers later. Other vendors have implemented quantum-resistant algorithms either in their network and storage architectures or in their database services, but not both.

Although not explicitly discussed in Larry Ellison’s presentation, subsequent client discussions revealed an interesting tension. I have often criticized officers and directors for their failures stemming from their defense of the status quo. This defense is now permeating Oracle client organizations. My conclusion is that Artificial Intelligence is generating FUD (fear, uncertainty, and doubt) across organizations. It is by far the fastest technological adoption we have witnessed, and it is perceived as a direct threat to productivity. Furthermore, understanding how to leverage AI competitively is challenging, especially given that "others" are already using it in ways that could impact their jobs. I see significant push back starting. 

Today’s podcast touches on some of these highlights and raises many more. 

Saturday evening update, I review these podcasts after some time has passed and feel I need to place a warning on this one. It made sense when I made it, but there’s too much data too quickly and is overwhelming even for me. I’ll hopefully get some time to break it down and make it palatable so be warned beforehand. 

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Podcast # 33, Decentralized Production Model

I’m very pleased with the exceptional value these podcasts are delivering. Admittedly, I may be biased, but they capture precisely what I intended to convey in the Preliminary Specification. They allow anyone with even a passing interest in the project to get up to speed quickly, thanks to the AI’s remarkable ability to synthesize and communicate the material efficiently.

Today’s episode focuses on our Decentralized Production Model—the core value-adding framework that enables the industry to manage reserves responsibly and eliminate the chronic waste of producing unprofitably. All in just 14 minutes.

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Podcast # 32, Material Balance Report

 A brief note on yesterday’s BP vs. Venture Global arbitration ruling: while BP’s victory contrasts with Shell’s recent defeat, the outcome underscores that the $4.7 trillion in lost natural gas revenues remains a tangible and consequential issue for at least one side of the dispute. People, Ideas & Objects would further highlight that the LNG component of those losses illustrates the sheer absurdity of the producers’ rudimentary business logic. The material financial losses stemmed directly from the collapse of natural gas prices from chronic and systemic overproduction, which fell from a traditional 6:1 ratio to as low as 50:1 by 2024.

Following the detailed podcast on Work and Job Orders, this podcast provides a high-level summary of the Material Balance Report. This AI impressively prepares summaries of the Preliminary Specification, offering readers and listeners a comprehensive understanding of how production volumes are managed, balanced, and automated through to financial statements.

Our Material Balance Report presents an opportunity to develop software previously impossible. Creating a highly engineered, costly development like our Material Balance Report would not have been cost-effective for even the largest producers to undertake, and the benefits for a sole producer would not justify the investment.

However, when we approach the Material Balance Report from an industry-wide development and implementation perspective, everything changes. The cost would be distributed across the industry on a barrel of oil produced basis, making it affordable for all producers. The real value emerges when reporting through the Joint Operating Committee is managed and integrated into the broader North American oil & gas infrastructure. This integration opens the door to high levels of automation of the comprehensive reporting requirements derived from production data, all the way through to the financial statements.

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Podcast #31, Work & Job Order

 Today's podcast effectively promotes the Preliminary Specifications Work and Job Orders, which are managed through the Business Operations Management module. While the podcast correctly states that the module is used at a high level within the firm, it also accurately notes its application wherever necessary, particularly within the Joint Operating Committee.

The twelve-and-a-half minutes invested in this podcast offer exceptional value. It provides oil and gas professionals with a quick understanding of the podcast's content, encouraging further engagement with People, Ideas & Objects, our user community, and their service provider organizations.

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Podcast # 30, Our User Community and Service Providers

I'm truly pleased with this podcast! The content and presentation are excellent, and the material is a real pleasure to listen to. There are a few minor hiccups here and there, but they're absolutely negligible and don't detract from the experience at all. 🤓

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Podcast # 29 Stablecoins and Crypto

 Following the release of our paper on Thursday, September 18, 2025, titled “President Trump’s Vision & Economic Developments in Oil & Gas,” our 29th podcast examines the transformative impact of stablecoin and cryptocurrency legislation on the U.S. financial system. This evolution shifts the framework from a post-World War II model to one optimized for the Internet age.

Minor inaccuracies persist in the presenter’s remarks, though they are sufficiently subtle that they may have escaped general notice. Providing detailed guidance on the podcast’s presentation often results in a departure from established formats and familiar elements.

Both the paper and the podcast address three critical components of the Preliminary Specification for the future of the oil and gas industry. Stablecoins and cryptocurrencies require the Joint Operating Committee to serve as the primary organizational structure, enabling producers and the sector as a whole to realize their full benefits. Asset tokenization or securitization becomes viable only when investors receive timely and accurate accounting information regarding the oil and gas assets in which they hold interests. The Preliminary Specification is uniquely equipped and designed to deliver this level of detailed, granular reporting.

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Podcast # 28, The Preliminary Specification

 I was thinking, what would happen if we put the entire Preliminary Specification through Notebook LM. Would it be able to capture in a single podcast what was contained within? Well here it is. It’s over 45 minutes, it’s in an MP4 format which will use a video player instead of audio. I spent too much time in file conversion hell to warrant the conversion concern. It may take some time to be available and usable after you’ve downloaded it. 

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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Podcast # 27, Performance Evaluation

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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Podcast # 26, Security, Compliance and Blockchain

 This stellar podcast, created by the Artificial Intelligence bots, surprisingly exceeded expectations by efficiently combining three seemingly uninteresting modules. These modules, all related to security, compliance, and blockchain, share numerous overlapping concerns. The podcasts aim to offer a concise review of the material for interested audiences, saving them time and providing insight into our methods of issue resolution. 
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Podcast # 25, Artificial Intelligence Module

 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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Podcast # 24, Knowledge & Learning Module

 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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Podcast # 23, Research & Capabilities

 Following our discussion of the Business Operations Management Module, we now turn to the Research & Capabilities Module—a conceptually new addition for the oil and gas industry. This module is designed to capture and organize a producer’s explicit engineering and geological knowledge, the very foundation of its competitive advantage. By doing so, it ensures that resources are aligned and that tacit expertise is applied consistently across the organization—putting everyone on the “same page.”

A central aim of the module is to strengthen accountability. Today, operational knowledge and decision rights are split between producers and their Joint Operating Committees, creating confusion and misplaced responsibility. By embedding knowledge directly within the Joint Operating Committee’s operational decision-making framework, accountability becomes clear, eliminating the cycle of finger-pointing that has long plagued the industry.

The module also manages two critical processes of innovation. First, it isolates research and development activities from day-to-day operations, allowing costs to be managed more effectively while preventing disruptions. Recognizing that innovation is defined as much by its failures as its successes, this approach ensures that lessons learned are retained, duplication is avoided, and future efforts can build directly on prior work. In this way, producers develop an institutional memory that sustains innovation rather than restarting it each time.

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Podcast #22, Business Operations Management

 One of the core challenges in developing the Preliminary Specification has been the sheer breadth of accounting, administrative, and operational concerns facing producers and the Joint Operating Committee. This stems from the reality that what is required is not a minor adjustment—but a wholesale rebuild of the producer, the industry, and the service sector on a cultural foundation of reserves preservation, performance, and profitability.

The status quo has collapsed under its own weight. Its culture of “muddle through” has failed predictably and spectacularly, leaving no value worth reconciling. Any attempt to accommodate such a culture would only obstruct progress, frustrate innovation, and exhaust resources.

The Business Operations Management Module offers a new path forward. It empowers engineers, geologists, and business leaders to actively manage operational performance, innovation, accountability, and profitability within their assigned domains—anchored to the financial realities of the Joint Operating Committee. This ensures that their initiatives not only survive but continue to build lasting value.

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Financial Marketplace Podcast # 21

Once again, the virtual presenters in our podcast series have managed to distill the larger strategic themes embedded within the finer points of our content. This episode focuses on the Financial Marketplace Module, which—like its predecessors—will no doubt provoke renewed debate over the Marketplace Interface. At People, Ideas & Objects, we’ve become entirely numb and fully desensitized to the criticism and laughter this interface has generated. That said, the two presenters offered notably thoughtful commentary on the subject.

We currently have a major paper in development that addresses the Marketplace Interface directly, scheduled for release after our next publication. Once it’s out, we’ll see who shares in our laughter. 🤓

The Financial Marketplace Module is the third and final instalment in our marketplace module podcast series. From my perspective, there are three key takeaways:

• Increased throughput and speed in Financial Marketplace Module agreements and transactions, benefiting both producers and Joint Operating Committees (JOCs).

• Recognition that speed without control is an operational liability.

• Expanded integration between producers and JOCs, moving beyond an internal focus to embrace a broader spectrum of opportunities and risks.

For those seeking a concise introduction to the modules, the components of the Preliminary Specification, and People, Ideas & Objects as a whole, these podcasts offer an efficient, high-level way to gauge both interest and understanding.

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Podcast # 20, Petroleum Lease Marketplace

I am very pleased with the content of this podcast. It captures the subtle complexity inherent in the interactions within the Petroleum Lease Marketplace module—complexity that underpins the data and process integrity across all other modules of the Preliminary Specification.

As the second in our series covering the three marketplace modules, this episode moves beyond the central theme of data integrity to explore the broader strategic implications of the module and the downstream consequences of its design. I was impressed by the clarity and depth with which these topics were addressed, as well as the ease and fluency of the virtual presenters in navigating such a sophisticated discussion.

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Resource Marketplace, Podcast # 19

We are transitioning our podcast series from this year’s White Papers to a focused exploration of the fourteen modules within the Preliminary Specification. The first episode in this new series, released today, covers the Resource Marketplace module. Upcoming episodes will feature the Petroleum Lease Marketplace module on Tuesday, followed by the Finance Marketplace module on Friday.

One of the remarkable aspects of substantive writing is how it can evolve in meaning over time. When a document is set aside for six months or more, revisiting it often reveals insights and themes the author was unaware of during its creation. This has been my experience with the six papers published this year, and it is motivating me to expand certain sections of the Preliminary Specification to incorporate these new perspectives.

Separately, I’ve observed an unusually high volume of asset sales in the oil and gas sector. What stands out most is that the identities of the buyers are rarely disclosed.

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Breaking the Cycle, Podcast # 18

People, Ideas & Objects continues the conversation with today’s episode, building on yesterday’s release of “Breaking the Cycle.” The first few minutes are a warm-up, but once the discussion hits its stride, it delivers high-value insights for anyone serious about oil & gas reform.

This episode marks the completion of our six-paper podcast series for 2025. Next, we shift gears to cover the remaining twelve modules of the Preliminary Specification—laying out the operational blueprint for the industry’s future.

   
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Hyper-specialization, Artificial Intelligence & Intellectual Property - Podcast #17

 I have some reservations about publishing this podcast, as it fails to fully convey the core argument of the accompanying paper. The central thesis is this: to significantly improve both the productivity and quality of work within the oil and gas industry, we must fundamentally reorganize ourselves around the principles of specialization and division of labor.

This transformation is currently constrained by two primary structural limitations. First, individual producers lack sufficient operational throughput to deconstruct their workflows further without encountering diminishing returns. Achieving material productivity gains would therefore require the aggregation of work across multiple producers, enabling the deployment of hyper-specialized capabilities.

Second, expanding operational processes to their optimal levels introduces overwhelming complexity in terms of coordination and control. Managing the flow of data and information at that scale rapidly exceeds the capacity of conventional organizational structures and human oversight.

The productivity potential of hyper-specialization is not in dispute. Its benefits include exponential improvements in output, precision, and organizational velocity. However, realizing this potential requires a system that can manage such complexity without collapsing under it. Human managers alone are inadequate to fulfill the role of coordinating high-volume, high-speed workflows among hyper-specialized agents.

The Preliminary Specification addresses this challenge through a triadic framework:

1. Intellectual Property – IP must define and assign the rights to specific work domains. This enables clear delineation of responsibilities and prevents the chaos that would arise from unregulated competition for work.
   
   
2. Contractual Structures – These must bind individuals and firms to their areas of specialization, ensuring accountability and coordination.
   
   
3. Artificial Intelligence – AI systems are required to act as the “traffic cops,” managing throughput, enforcing workflows, and maintaining system-wide coordination among authorized participants.

Without these elements working in concert—IP rights, enforceable contracts, and intelligent automation—we will remain constrained by the limitations of our current organizational structures and be unable to achieve the performance step-change the industry requires. The paper being discussed today is:

Hyper-Specialization in Today’s AI & IP Enabled Workforce: 

Strategic Implications and Operational Consequences 

for the Oil & Gas Sector

Other than these points the podcast is a little rough around the edges but the content is well portrayed. 

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Podcast # 16, Innovative Organizational Excellence

 On February 10, 2025, People, Ideas & Objects released the paper titled:

Innovative Organizational Excellence: How Elon Musk and Visionary Leaders Build High Performance Enterprises—Strategies for Emulating Their Success Within Our User Community.

In today’s podcast, there are a few rambling moments at the start—nothing to worry about. Despite this, I’m reluctant to re-record it because, once it gets on track, it delivers valuable insights on what our user community and service providers need to focus on to evolve into the forward-thinking organizations that the oil & gas industry urgently requires.

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