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How Reliable Is Production Data Analysis

There are many challenges that one might encounter in Production Data Analysis. Here is a sample of some of the common challenges which occur during analysis including pressure, flow rate, well completion and General. These issues must be recognized if not addressed in the case that a product examination sequence is conducted. Influence of data examination could vary from high, moderate to very high. The article under forth describes of the factors generated and importance of data examination.

There are many challenges that one might encounter in Production Data Analysis. Here is a sample of some of the common challenges which occur during analysis including pressure, flow rate, well completion and General. These issues must be recognized if not addressed in the case that a product examination sequence is conducted. Influence of data examination could vary from high, moderate to very high. The article under forth describes of the factors generated and importance of data examination.

Analysis can be separated into two and that is the estimation of reservoir properties from transient flow data and the estimation of reservoir volume from boundary-dominated flow information. It is important to note that legacy creation information may not contain the quality nor the frequency sufficient to produce competent estimates of reservoir properties. When dataset is complete then it is of good quality.

Using production figures investigation is effective and has reason within it as it consists reasonable reservoir characteristic, it however has its fair share of disadvantages such as that it does not entail an integrative technique that can accommodate results from many individual wells and does not have a process wellhead and bottom hole pressure figures in mature fields.

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.

Diagnostic plot implies that a certain feature will emerge from a given figures profile. The goal is to provide a broad spectrum of diagnostic insight of the plots. If significant information mismatch were to exit, then we would conclude that these creation figures are not correlated or possibly corrupted. Comparison of measured pressures and those pressures computed from deconvolution show only fair agreement.

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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