One of the most important methods aimed at climate mitigation technology is carbon geological sequestration. During the process of site selection and characterization required for evaluation of capacity storage potential of a given region, geological static modelling plays an essential role by providing a better understanding of the structure in terms of petrophysical and geological characteristics. This work presents the 3D geological model of several anticlines in the Lorestan area (northwestern Zagros), to evaluate their carbon storage capacity potential. The 3D geological model is based on seismic data and well-log data from 2 wells drilled in the area, kindly provided by the National Iranian Oil company (NIOC). Preliminary well logs analysis allowed to identify potential target formations by considering pivotal criteria of CO2 storage such as depth, porosity, and other petrophysical characteristics. The 3D model will be followed by the construction of a geocellular model that will be populated by petrophysical data obtained from well logs. The reconstructed volume will be then used for injection simulations to obtain an evaluation of the volume available for storage. The dynamic simulation will also provide and support the evaluation of other important aspects such as the injection strategies and efficiency coefficient, comparing the observed theoretical and effective capacity.

Static modelling of geological structures for carbon sequestration purposes in the Lorestan area of Iran / SOLEIMANI DINANI, Pegah; Bigi, Sabina; Trippetta, Fabio; Ali Moallemi, Seyed; Conti, Alessia; Proietti, Giampaolo; Romano, Valentina. - (2022). (Intervento presentato al convegno 16th International Conference on Greenhouse Gas Control Technologies, GHGT-16 tenutosi a Lyon, France) [10.2139/ssrn.4276458].

Static modelling of geological structures for carbon sequestration purposes in the Lorestan area of Iran

Pegah Soleimani Dinani
;
Sabina Bigi;Fabio Trippetta;Alessia Conti;Giampaolo Proietti;Valentina Romano
2022

Abstract

One of the most important methods aimed at climate mitigation technology is carbon geological sequestration. During the process of site selection and characterization required for evaluation of capacity storage potential of a given region, geological static modelling plays an essential role by providing a better understanding of the structure in terms of petrophysical and geological characteristics. This work presents the 3D geological model of several anticlines in the Lorestan area (northwestern Zagros), to evaluate their carbon storage capacity potential. The 3D geological model is based on seismic data and well-log data from 2 wells drilled in the area, kindly provided by the National Iranian Oil company (NIOC). Preliminary well logs analysis allowed to identify potential target formations by considering pivotal criteria of CO2 storage such as depth, porosity, and other petrophysical characteristics. The 3D model will be followed by the construction of a geocellular model that will be populated by petrophysical data obtained from well logs. The reconstructed volume will be then used for injection simulations to obtain an evaluation of the volume available for storage. The dynamic simulation will also provide and support the evaluation of other important aspects such as the injection strategies and efficiency coefficient, comparing the observed theoretical and effective capacity.
2022
16th International Conference on Greenhouse Gas Control Technologies, GHGT-16
Mitigation technologies; Carbon Sequestration; CCS; Iran; Lorestan area
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Static modelling of geological structures for carbon sequestration purposes in the Lorestan area of Iran / SOLEIMANI DINANI, Pegah; Bigi, Sabina; Trippetta, Fabio; Ali Moallemi, Seyed; Conti, Alessia; Proietti, Giampaolo; Romano, Valentina. - (2022). (Intervento presentato al convegno 16th International Conference on Greenhouse Gas Control Technologies, GHGT-16 tenutosi a Lyon, France) [10.2139/ssrn.4276458].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1669495
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