Abstract: Method for predicting the effect of microbes injected into an oil-bearing reservoir which is capable of being represented by a first computer-generated grid including a first plurality of grid blocks. Measurement data representing the effect of injecting the microbes into a multiple coreflood apparatus is received. The multiple coreflood apparatus has material samples indicative of a rock formation associated with the oil-bearing reservoir, the samples being capable of being represented by a second computer-generated grid having a second plurality of grid blocks, the samples being representative of different regions of the reservoir and being connected such that microbes injected into the first sample are able to flow to the second sample. Data received is input into a computer-implemented reservoir model which simulates the effect of microbe injected in relation to the second grid. The reservoir model generates data indicating the effect of injecting the microbes into the multiple coreflood apparatus.

Abstract: A method for predicting the effect of microbes injected into an oil-bearing reservoir, the oil-bearing reservoir being capable of being represented by a first computer-generated grid comprising a first plurality of grid blocks, is provided. Measurement data representing the effect of injecting the microbes into a multiple coreflood apparatus is received. The multiple coreflood apparatus comprises at least first and second material samples indicative of a rock formation associated with said oil-bearing reservoir, the first and second samples being capable of being represented by a second computer-generated grid comprising a second plurality of grid blocks, the first and second samples being representative of different regions of the reservoir and being connected such that microbes injected into the first sample are able to flow to the second sample.