Systematic Approach for the selection of monitoring technologies in CO2 geological storage projects. Application of multicriteria decision making

Llamas Moya, B.; Mazadiego Martínez, Luis Felipe; Elio Medina, Javier de; Ortega Romero, Marcelo; Grandia, Fidel y Rincones Salinas, Miguel Ángel (2014). Systematic Approach for the selection of monitoring technologies in CO2 geological storage projects. Application of multicriteria decision making. "Global NEST Journal", v. 16 (n. 1); pp. 36-42. ISSN 1790-7632.

Descripción

Título: Systematic Approach for the selection of monitoring technologies in CO2 geological storage projects. Application of multicriteria decision making
Autor/es:
  • Llamas Moya, B.
  • Mazadiego Martínez, Luis Felipe
  • Elio Medina, Javier de
  • Ortega Romero, Marcelo
  • Grandia, Fidel
  • Rincones Salinas, Miguel Ángel
Tipo de Documento: Artículo
Título de Revista/Publicación: Global NEST Journal
Fecha: 2014
Volumen: 16
Materias:
Palabras Clave Informales: CO2 geological storage, monitoring, tools, multicriteria decision tool, soil and atmosphere tools.
Escuela: E.T.S.I. Minas (UPM) [antigua denominación]
Departamento: Explotación de Recursos Minerales y Obras Subterráneas [hasta 2014]
Licencias Creative Commons: Ninguna

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Resumen

Geologic storage of carbon dioxide (CO2) has been proposed as a viable means for reducing anthropogenic CO2 emissions. Once injection begins, a program for measurement, monitoring, and verification (MMV) of CO2 distribution is required in order to: a) research key features, effects and processes needed for risk assessment; b) manage the injection process; c) delineate and identify leakage risk and surface escape; d) provide early warnings of failure near the reservoir; and f) verify storage for accounting and crediting. The selection of the methodology of monitoring (characterization of site and control and verification in the post-injection phase) is influenced by economic and technological variables. Multiple Criteria Decision Making (MCDM) refers to a methodology developed for making decisions in the presence of multiple criteria. MCDM as a discipline has only a relatively short history of 40 years, and it has been closely related to advancements on computer technology. Evaluation methods and multicriteria decisions include the selection of a set of feasible alternatives, the simultaneous optimization of several objective functions, and a decision-making process and evaluation procedures that must be rational and consistent. The application of a mathematical model of decision-making will help to find the best solution, establishing the mechanisms to facilitate the management of information generated by number of disciplines of knowledge. Those problems in which decision alternatives are finite are called Discrete Multicriteria Decision problems. Such problems are most common in reality and this case scenario will be applied in solving the problem of site selection for storing CO2. Discrete MCDM is used to assess and decide on issues that by nature or design support a finite number of alternative solutions. Recently, Multicriteria Decision Analysis has been applied to hierarchy policy incentives for CCS, to assess the role of CCS, and to select potential areas which could be suitable to store. For those reasons, MCDM have been considered in the monitoring phase of CO2 storage, in order to select suitable technologies which could be techno-economical viable. In this paper, we identify techniques of gas measurements in subsurface which are currently applying in the phase of characterization (pre-injection); MCDM will help decision-makers to hierarchy the most suitable technique which fit the purpose to monitor the specific physic-chemical parameter.

Más información

ID de Registro: 22034
Identificador DC: http://oa.upm.es/22034/
Identificador OAI: oai:oa.upm.es:22034
URL Oficial: http://journal.gnest.org/sites/default/files/Submissions/gnest_01241/gnest_01241_published.pdf
Depositado por: Javier Elio Medina
Depositado el: 05 Ene 2014 16:31
Ultima Modificación: 13 Nov 2014 12:09
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