Oil and War [it]
A text dating back to 2002 contains a script for delivering a warning. In international relations, the availability of energy resources—valued within the economic cycle—and geopolitical conflicts are central elements of a perennial dispute.

These considerations support the function of forecasting. They were formulated in the aftermath of the Second Gulf War, before various other conflicts arose, each time reshaping the international order–surreptitiously regarded as an epilogue to the looming prospect of potential developments. Their significance is underscored by the awareness of the risk of becoming subsumed by prophetic inference, which can become a methodological flaw only in the context of retrospective evaluation.
Energy and war–a phrase with multiple meanings. It can be understood as a hendiadys, implying ''energy war'' or ''warlike energy,'' with a localized connotation. Alternatively, it can be interpreted disjunctively, first referring to energy issues and then to associated wartime circumstances. It may also be seen as an expression of simultaneity, suggesting that energy and war are indistinguishable in time and absolute. The interpretation should be unequivocal based on context. However, recent economic, military, and political events indicate that the third meaning predominates, at least in common perception. The reference to the Iraqi conflict is obvious but by no means irrelevant. The significance of what has occurred–and what will unfold in the coming years–in this key region for global energy balances must be understood in light of the fundamental parameters of the global energy sector.
All analyses of near-future energy consumption trends agree that oil will remain the cornerstone of the supply system. Global demand for crude oil is almost unanimously expected to increase. Although estimates vary due to differing strategic perspectives among analysts, this growth could result in demand ranging from 90 million to 115 million barrels per day by 2020, up from the current 75 million barrels per day. Setting aside the issues related to varying growth rates of oil consumption by geographic region and economic category (such as OECD countries versus developing countries), as well as the reasons behind substantially different quantitative forecasts–which stem from differing methods of assessing oil reserves, a topic of great interest and marked by conflicting interpretations–it is important to focus on the geopolitical and economic significance of consumption forecasts, especially considering that oil is an exhaustible resource. When a resource is quantitatively finite, as is the case with fossil fuels, which have numerous deposits (specifically oil fields) and a relatively large number of companies capable of exploring and developing them, the evolution of resource exploitation–in terms of both annual discoveries and annual production–follows the statistical laws of random distribution according to the well-known central limit theorem. Therefore, the curves illustrating the trends of discoveries and production—expressed as quantities versus time (e.g., barrels discovered or produced per year)—assume a bell-shaped form closely resembling a Gaussian curve. Analyzing the production curve reveals that, during the initial phase when the resource is abundant, growing demand can be met by an annual increase in production at progressively higher rates. Near the absolute maximum of the curve, which represents the resource's peak production and occurs when approximately 50% of the resource has been extracted, annual production continues to increase but at progressively slower rates. After the peak, production enters a decline phase characterized initially by increasing annual rates of decline, then gradually tapering off toward extinction at decreasing rates. M. King Hubbert, a geologist at Shell, was the first to apply this model to petroleum systems in 1956, initially focusing on individual regions of the United States and later on the entire national crude oil production. He successfully predicted, excluding Alaska, a peak in production around 1969. This prediction was remarkably confirmed by official data, as crude oil production in the contiguous United States (USA-48)—excluding Alaska and deepwater fields (depth > 500 m)—is currently in decline, having peaked in 1971. The production curve for Alaskan fields has also surpassed the 1971 peak. The Hubbert curve model was subsequently applied to extrapolate crude oil production forecasts for various oil-producing provinces outside the United States and for the entire world. (See figure: Groningen natural gas field, Netherlands—trends in the estimates of total reserves and cumulative production, from M. H. Nederlof.)
According to the scenario developed by ASPO (Association for the Study of Peak Oil), which places the peak of world oil production in 2010 with daily conventional oil production at 83 million barrels per day, all available oil—approximately 2.7 trillion barrels, including unconventional sources such as tar sands, polar oil fields, deep-sea oil fields, and gaseous hydrocarbon liquids—will have been produced by 2075. This methodological approach, currently considered reliable even by some multinational energy companies (notably Shell), is, however, officially ignored in the scenarios proposed by authoritative organizations and agencies in the sector, including the USDOE, IEA, OPEC (Organization of the Petroleum Exporting Countries), and OGJ (Oil & Gas Journal). Proponents of oil optimism, by adapting certain features of the model to specific strategic objectives, argue that the production peak is still far off and that it is impossible to predict the mode of production decline. They contend that Hubbert curves—also called logistic curves because they derive from a classic model of population growth in a confined environment (etymologically, according to some, from the French word *logis*, meaning dwelling, rather than the Greek *logistike*) originally applied to the study of fruit fly (Drosophila) populations—cannot accurately represent the actual trends in discoveries and production because they are symmetrical around the peak. This symmetry results from the invariability of boundary conditions, i.e., the confined environment in the demographic application to Drosophila. In the specific case of petroleum systems, this symmetry does not hold due to advances in research and technology as well as fluctuations in relevant economic cycles. Improvements in exploration methods and field development techniques would lead to further increases in reserves through new discoveries, better estimation of already identified systems, and a significant increase in the recovery factor of crude oil from producing fields. This would cause the production peak to shift over time, resulting in a curve characterized by declining production rates that are lower than those during the production increase phase. Furthermore, changes in the economic context—such as expansion cycles and growing demand—would influence the curve's shape by encouraging investments in exploration and development, thereby inducing an impulsive increase in reserves.
The above arguments are undoubtedly well-founded; however, when properly considered, they do not invalidate the conclusions drawn from the analysis based on Hubbert's theory. Regarding the quantitative revaluation (replenishment) of reserves already in place, motivated by the prudent practice of initially underestimating new discoveries and influenced by the results of applying new technologies, backdating the revised value to the year of the petroleum system's discovery aligns with the trend of a logistic curve. Concerning the effects of improved crude oil recovery factors and the intermittent ('stop-and-go') nature of exploration activity, it should be noted that Hubbert curves represent an approximation of real-world trends, which may include deviations caused by the specific characteristics of the petroleum sector. Furthermore, there is consistent—perhaps definitive—evidence supporting the reliability of reserve estimations according to the Hubbert model: the trend of so-called creaming curves. These functions plot, on a Cartesian plane, the cumulative number of discoveries within a petroleum system (such as a field, sedimentary basin, region, or macroeconomic area) as a function of the cumulative number of new exploratory wells drilled within it (see figure: Creaming Curves of Reserves). For Saudi Arabian oil resources, the ordinate on the left shows the percentage of cumulative discovered resources relative to total resources; on the right, the number of identified fields; and on the x-axis, the cumulative number of new exploratory wells (from Mhnederlof). These curves, characterized by their typical asymptotic (plateau-like) trend that identifies the overall resources of the system under consideration, generally confirm the forecasts based on Hubbert curves.
In conclusion, there are valid reasons to believe that we are approaching a stage in which oil supply will be unable to meet demand. Once this point is reached, countries with hydrocarbon-based energy systems that lack direct access to crude oil will face structural economic hardships. Therefore, it is foreseeable that the states currently at the forefront of the oil-based economic and financial system will be willing to pursue all options, including military intervention, to secure privileged energy supply routes. In this context, it is no coincidence that the U.S. government—the country with the highest per capita oil consumption—considers controlling the security of crude oil supplies a strategic national priority. In the case of the United States, military intervention against the OPEC country with the highest reserves-to-production ratio also appears to be influenced by serious financial risks. The prospect of a widespread shift from the dollar to the euro as the reference currency for oil transactions, hinted at by the Iraqi government's decision in 2002, would leave the U.S. economy unable to manage its massive foreign debt. In briefly addressing the complex relationship between resource availability and the extent of conflict between nations, we have deliberately avoided ethical, moral, and environmental implications—such as the right to self-determination of nations, sustainable development, and the Kyoto Protocol. However, it is important to note that when comparing the overall costs of different energy sources, these critical aspects cannot be overlooked.
Fabio Catino (Roma, 2002)

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" ... the ignorance of one voter
in a democracy impairs the security of all ..."
John F. Kennedy
Nashville, Tennessee
May 18, 1963

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