Thursday, November 8, 2018

Common Challenges In Production Data Analysis

By Margaret Scott


The world we live in today has been broken into different volumes that can be summed up into data. Production Data Analysis is mostly sought in the handling large volumes of data that is from multiple sources, contains multiple frequency records or in events where identification and synchronization are required. It is also used to assign appropriate production rate to the right fields. The article below highlights some of the benefits associated with records analysis in the world today.

Manufacture figures investigation is a figures that researchers can fully count on especially when dealing with figures in mature fields. Practical methods are the oldest and they have been used for a very long time and they are divided into two categories being Decline Curve investigation DCA which is independent of any reservoir characteristic and Type Curve Matching TCM which is a subjective procedure.

Accurate and frequent estimates of rate and pressure information are considered to be a necessity. If the flow rate suddenly increases or decreases, then the pressure should decrease and increase respectively if not then the flow rate and pressure information are inconsistent or uncorrelated. This could mean that flow is taking a different path, flow pressure is measured in the wrong direction or a liquid is loading.

There are various methods used in investigation and creation information Analysis PDA is among them, it is very effective when dealing with mature fields that could be quite cumbersome to handle if other analyses were employed, PDA has methods of its own the famous ones being decline curve investigation and type curve investigation which are basically one method categorized in to two.

There is the fuzzy pattern recognition which when its study of every well is completed results get merged to determine the specific pattern that is in that particular area. This is important as it helps to understand all the aspects of an area like the sweet spots, wells not performing well and have information about all the wells. It begins by plotting the rate of creation.

In the context of creation information investigation deconvolution will be used only as a B - spline diagnostic method to identify inconsistencies in the pressure information. It does not allow estimation of rates thus the given rates are assumed to be correct. If plot shows major variations, then the information is inconsistent despite measured flowrates and pressure being incorrect. Comparison of raw and history figures is crucial.

There is the Single-Well Reservoir Simulation which is a step or method rather which uses history matching, creation records using a well and radial reservoir simulator. This is method more complicated than most since HM is not a straightforward method and one should go about it with sanity to ensure that by the end of it the results make physical sense.

The well completion history is an essential element of the examination process and must always be taken into account particularly for cases of recompletions, well simulations and major workovers. Production and reservoir engineering principles could clash during well simulation. Thus, performing well simulation very early in the completion history will minimize change in reservoir model.




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