Conference Presentations by Fatima F
EGU, 2021
Adequately characterizing the properties of a fracture network is the first step in accurately mo... more Adequately characterizing the properties of a fracture network is the first step in accurately modelling its behavior, be it mechanically or hydraulically. Characterizing fracture networks requires determining fracture frequency, orientation, connectivity, and fracture properties. This becomes particularly challenging in subsurface systems, where hard data on fracture networks comes mainly from boreholes, that are samples of very limited volume in relation to the fracture network. Because of this scale relationship between sample dimension and the dimension of natural fracture networks, boreholes capture a very partial picture of the fracture network. This is particularly relevant when attempting to estimate fracture frequency and network connectivity from borehole data. Corrections are normally used to account for sampling bias related to fracture size and orientation. Whereas these corrections are valid for the sample itself, the topology and heterogeneity of fracture networks means that measurements obtained in any given borehole are not necessarily representative of the broader fracture network.
Papers by Fatima F
International Journal of Modeling and Optimization, 2012
Simulation in petroleum geology is an art to build the structure of the reservoir with the help o... more Simulation in petroleum geology is an art to build the structure of the reservoir with the help of geological, seismic, well logs, and petrophysical data which are transferred digitally to the suitable computation software of the reservoir management system. Core analysis, and thin sections petrography are also applied to get more information. In any petroliferous area such as Zagros, reservoir simulation can be also used to predict the best position for drilling projects, and so the reservoir construction is an essential part of the process. The present study is an attempt to construct 3D-structural model using geostatistical method to access in situ oil volume and best position for oil production. The area considered as a case study is the Asmari reservoir of the Ramin oilfield located at Dezful Embayment in SW of Iran. In this oilfield the Asmari reservoir is divided into 4 zones. To make up the model several steps such as griding, kriging and experimental variogram were carried out for all available data. To increase the accuracy and variability of data, selected dimensions was 193×228×1m of each cell in grid model except for zone 4 that it was non reservoir. In this case, for the last zone, dimensions were changed to 193×228×5m. Simulated reservoir model revealed that zone 1 is the main pay zone since it contains about 97.9% of total oil volume in this field. Distribution of the porosity and water saturation indicated that zones 1 and 2 are good candidates for oil production since they have higher porosity% and lower water saturation% than other zones. The best situation for drilling program is in the western part.
Adequately characterizing the properties of a fracture network is the first step in accurately mo... more Adequately characterizing the properties of a fracture network is the first step in accurately modelling its behavior, be it mechanically or hydraulically. Characterizing fracture networks requires determining fracture frequency, orientation, connectivity, and fracture properties. This becomes particularly challenging in subsurface systems, where hard data on fracture networks comes mainly from boreholes, that are samples of very limited volume in relation to the fracture network. Because of this scale relationship between sample dimension and the dimension of natural fracture networks, boreholes capture a very partial picture of the fracture network. This is particularly relevant when attempting to estimate fracture frequency and network connectivity from borehole data. Corrections are normally used to account for sampling bias related to fracture size and orientation. Whereas these corrections are valid for the sample itself, the topology and heterogeneity of fracture networks mea...
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Conference Presentations by Fatima F
Papers by Fatima F