Uncertainty and Mining 

October 18, 2019
Carlos Freile

Carlos Freile

Carlos Freile se graduó como Técnico Superior en Geología en el I.U.T.M, luego obtuvo el título de Ingeniero de Petróleo en el I.U.P.S.M y posteriormente se graduó de Magister en Geología en L.U.Z, todos estos estudios los realizó en la ciudad de Maracaibo, Venezuela. Asimismo, obtuvo una atestación de estudio superior en negocios internacionales en el College Marie Victorin, Montreal, Canadá, también realizó un curso de inglés como segunda lengua en la Universidad de West Indies sede Cave Hill, Barbados. Pertenece a la orden de ingenieros de Quebec, Canadá, como Ingeniero Junior, solo en espera por su nombramiento como Ingeniero. Con 3 años en Promine Inc ocupa actualmente el cargo de ventas técnicas para LATAM, teniendo como objetivo principal desarrollar negocios en Latinoamérica dando a conocer al software Promine como una solución integral de fácil aplicación para tareas mineras complejas. En su experiencia profesional destaca 10 años en la industria de Petróleo y Gas como geólogo de desarrollo de yacimientos y 3 años en la industria de la minería como especialista de Promine. Posee un nivel avanzado en los idiomas: Español, Inglés y Francés. En sus hobbies destaca jugar béisbol, escalar montañas, practicar y seguir otros deporte como basquetbol y futbol.
Mining is an industry that combines many disciplines with a primary objective: the extraction of mineral resources in an economically profitable, environmentally and socially sustainable way. Many of the risks associated with a mining project include financial, technical, social, environmental risks, among others. One of the risks that has become more relevant in recent years are social risks. Many large, medium and small-scale projects have been discontinued, postponed or cancelled because they are not approved by communities. Some mining companies have increasingly been working hand-in-hand with communities to highlight the benefits that responsible mining brings to the economic development of a community, region, and country. However, many efforts are still required to change the negative perception of an activity so vital to our modern way of life. 

 

Another major risk that has been extensively identified and studied from a technical perspective corresponds to the geological risk. The geological model for a mineral deposit is developed from the limited information obtained from techniques such as exploration drilling, channel samples or from outcrops, amongst others. It’s well known that the estimates in a geological model, such as those commonly used in the estimation of resources and reserves, are an approximate representation of  the mineral grade distribution. This leads to high incertitude regarding the distribution and variability of mineral grades within the deposit, commonly referred to as geological uncertainty.  Several studies have shown that a large percentage of projects do not meet production targets due to the differences between the mineral grade they had in the model with respect to the grade obtained in reality,  this being a result of the geological uncertainty previously mentioned. 

 

Another risk factor affecting all mining operations is the risk of over and under excavation of blocks, which results in dilution, operational losses of material, and possible geomechanical instability. In most cases, a mining operation assumes a dilution rate based on historical values, previous experiences or similar operations. However, this dilution rate can differ greatly in reality, compromising the profitability of the operation. 

 

From a financial point of view there are large risks related to the uncertainty in the price of metals and raw materials, operating costs, as well as taxes and regulations.  In a similar way we could list many more risks that arise from all the uncertainties that are  present in a mining operation.  

 

The question we have to ask ourselves is how to face this uncertainty. We can identify three working methodologies to deal with this uncertainty. The first option is to ignore the uncertainty, which is the traditional methodology along with the ensuing risks associated with that. The second option is to reduce uncertainty, which can be done up to some extent and can come at a great cost. This option can be considered for certain types of uncertainties, but in certain cases, such as geological uncertainties, the deposit is only fully known once it is extracted. The third option is to live with uncertainty and consider it in decision-making using stochastic methods. In this case, uncertainty is accounted for in the model and strong decisions have to be made, understanding that uncertainty will be present at the moment of making decisions. 

Stochastic solutions perform better than their deterministic counterparts in the presence of uncertainty. The challenge is to correctly model uncertainty and develop efficient stochastic methods. It’s in this direction that we must all work in the industry, academia and technology companies to be able to provide us with the tools that will allow us to reduce the risks associated with mining activities. 

 

Luis Montiel Petro, PhD. 

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