Numerical water cut, water production, oil production and

Numerical reservoir simulation is
now one of the fast growing department of Petroleum industry over the past
several decades, because of the high demand for reliable estimations and predictions
of reservoir performance. However the progress in electronic computing
hardware, and the significant improvement in methods of numerical analysis were
the major important factors in this achievements in numerical reservoir
simulation of Petroleum reservoirs.

Before conducting Field History
matching process in any oilfield or Reservoir, Engineer needs to study Reservoir
models which provide much understanding of the study Area before predicting
reservoir performance this is the one of the most important activities Engineer
must perform during the process of developing and managing the petroleum
reservoirs. The Matched model are fundamental in making reliable future
forecasts possible, and give an idea of the level of understanding of the
geological and reservoir models. Depending on available field production data,
and complexity of a reservoir, the History matching process may be very time
consuming. To achieve matched model, some changes (Parameters) can be conducted
on the geological and reservoir models, mainly in those attributes with higher
uncertainty, for example, relative permeability curves, its distribution
through the reservoir, and other parameters with few samples.

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The objectives of this work is to
perform history matching on the Zhaozhouqiao oil field specifically Zh86 Block using
Schlumberger’s simulation software Petrel-RE 2014. History matching will be
done based on trial and error by modifying some reservoir properties, end point scaling and by modeling and including the
aquifer support into the system. The best history match was achieved by
modifying the critical water saturation in the system, modeling an aquifer
support using Carter Tracy Aquifer model and by modifying the horizontal and
vertical Permeabilities of the model. After the history match is achieved two
prediction strategies are developed and compared, where we did forward modeling
to build some confidence level in the reservoir model. Production indexes;
water cut, water production, oil production and oil rate of wells and the field
as a whole were forecasted. Results of the indexes were presented against time and
analyzed. The results portrayed that Zh86 Block in Zhaozhouqiao oil field is
still very promising in terms of production.

An Uncertainty and sensitivity
assessment was done on the reservoir model to analyze the impact certain
reservoir properties have on the volume calculations and simulation results in
the Zh86 Block reservoir model. The impact of uncertainty in our Sw and contact
positions on volume calculations in this model can be seen.

The impact of the grid resolution
in placing horizontal wells was also studied, a synthetic model of the Zh86
Block was built selecting the varying grid resolutions both laterally and
vertically, and then properties were upscaled to the models and a well-placed
below an impermeable shale zone in each model to determine the optimum
location. Using a model with a fine grid resolution enables you to place the
well in the best position in the reservoir model.