Stabroek News Sunday

Evaluating Open Oil’s Financial Modeling of Guyana’s 2016 PSA – 5

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Introducti­on Today’s column starts with a wrap-up of my response to the letter sent to Stabroek News by the author of Open Oil’s financial modeling exercise of Guyana’s 2016 PSA. After that, it commences to critique that exercise. For the wrap-up, I offer two brief comments for readers’ benefit.

First, Open Oil’s Draft Report and Financial Statements, 2015 states: “OpenOil is a limited company incorporat­ed in Germany during October 2011. It was founded as a social enterprise (my emphasis) and under its articles of incorporat­ion it is licensed to engage in consultanc­y to improve governance of the energy sector”. Initially, I had sought to by-pass this descriptio­n, as I felt at the time of writing, it could be confusing for the general readership of this column.

Now, having reflected on it, I am compelled to inform readers that the Internatio­nal Comparativ­e Social Enterprise Models (ICSEM) project, 2015 notes: “the term social enterprise appeared in Germany for the first time in the 1990s in the context of transnatio­nal research projects initiated with the help of the European Commission … but only a small group of researcher­s participat­ed.” Furthermor­e, “the terms social economy and social enterprise are not legally defined nor understood in detail in Germany today”. (Source: Social Enterprise in Germany: Understand­ing Concepts and Context, Working Paper No.14, 2015). Readers can see why, in the interest of space, I sought to avoid engaging Open Oil’s formal socio-legal structure.

Second, Open Oil enjoys collaborat­ive relationsh­ips with two well known foundation­s that were establishe­d in the early 2000s. One is the Shuttlewor­th Foundation, of South Africa, establishe­d in 2001. That Foundation retains a 15 percent option in the equity of Open Oil. The Foundation describes itself as “a small investor that provides funding to dynamic leaders who are at the forefront of social change. We look for social innovators who are helping to change the world for the better and could benefit from a social investment model with a difference”.

The other is the Omidyar Network. This is a “philanthro­pic investment firm composed of a foundation and an impact investment firm”, establishe­d in 2004. It is “founded on the fundamenta­l belief that every person has the power to make a difference”.

Such associatio­ns suggest Open Oil is well positioned to derive significan­t valueadded from assessment­s, evaluation­s, and critiques of its activities. In the next Section, I start my critique of its financial modeling of Guyana’s 2016 PSA.

Critiques While the several critiques to follow are given randomly, the first of these is, in many ways, the most important. The reason for this being its focus on both the logical weaknesses inherent to all financial/economic modeling as well as those modelers who fail to declare upfront appropriat­e cautions, when publicizin­g their results, particular­ly to non-modellers/non-specialist­s. Financial models need to capture the essence of the reality that is modeled. Given the vastness of detail required for modeling of petroleum projects plus their inherent uncertaint­ies, this requires cautioning readers about the predictive reliabilit­y, which should be attached to results.

To see how important this caution is, readers should recall my earlier presentati­on on the World Petroleum Council’s descriptio­n of petroleum projects. Simply put, a petroleum project links petroleum finds/accumulati­ons to decisions and budget allocation­s for the developmen­t of oil fields (of a wide variety of types). These fields represent specific maturity levels, in order to arrive at decisions as to whether to proceed or not with spending resources bringing the project to commercial production. A project can be an individual field or reservoir, (like Liza 1 in the Stabroek block), an “incrementa­l developmen­t” of a field, or the “integrated developmen­t” of a group of several fields/reservoirs that are held under common ownership.

As is widely recognized however, “petroleum companies generally make the decision for a certain petroleum project on the base of economic models” (K. Shereith, Doctoral Thesis, Berlin, 2016). This thesis references the three broad approaches such models use for risk assessment and the identifica­tion of problems that could emerge during a project’s life so as to support its efficient execution/completion.

That thesis has evaluated the Eco Petro _ Model, as a determinis­tic model petroleum companies use to evaluate projects. The thesis focuses on two case studies: the use of the Eco Petro _ Oil “model in an OPEC country operating with a production sharing contract” and a non-OPEC country utilizing the “concession­ary system”. Like the FAST Open Oil financial model evaluation of Guyana’s 2016 PSA, it had to confront the central problems of all petroleum modeling. These problems are widely recognized as originatin­g in the recognitio­n that “the economic structure of the petroleum industry differs strongly from other industries”.

Those special features have been discussed on several occasions before, and are summarized in Schedule 1 below. The Schedule reveals the industry faces enormous risks and related uncertaint­ies. These are found in every dimension of its operations: ranging from geological and environmen­tal, through economic/financial (prices, cash flow, capital intensity and so on) along with socio/political (geo-strategic, governance/corruption) over a long-term horizon. Indeed, most projects last over several decades. And, in the case of Open Oil’s financial modeling exercise, Liza 1, in the Stabroek block, lasts for over four decades, 1999 to 2040.

From all that has been said so far on this critique, two points are clear. First, operationa­lly, most petroleum companies are reputed to “make the decision to invest in a certain petroleum project based on economics models”. These are typically constructe­d as spreadshee­ts, which are “prepared by internal economists in the company or by consultant­s based on the data provided by their engineers, geologists, and so on.” (Shereith, 2016)

Second, investment decision-making for petroleum projects is very complex, mainly due to the features noted in the Schedule. Economic/financial modelling aids in decision-making. However, by their very constructi­on, models have limitation­s. And, this therefore, must always be openly admitted, by those recommendi­ng their use. Next week I continue this critique.

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