Wednesday, December 26, 2018

Common Challenges In Production Data Analysis

By Margaret Scott


In todays life data has come to be associated with everything and whenever large volumes of multiple sources and several frequency information need to be handled or classifying and coordinating events is required, then Production Data Analysis comes in handy. This analysis is also used in handing out appropriate creation rates to the concerned event. Below article will describe the importance of figures analysis.

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.

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.

Decline Curve study is one of the methods used and it used as a temporary benchmark for estimating b. Those employing this method already know it is a mathematical technique used to forecast performance and it does not entail any physical basis. TCM uses a set of curves generated based on the value of b that was obtained from Decline Curve study.

It is a reliable technique as it also employs other methods like history matching to try and increase its accuracy of estimation and interpretation of figures. History matching is quite a challenging method and is not as straightforward as it may seem as it is solely based on facts. However when type curve investigation is used them the results acquired through history matching are not used.

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.

Production statistics investigation should be considered as a reliable investigation technique even after the downs within it have been considered as it is one of the few techniques that can comfortably analyze figures from mature fields that are a challenge to deal with. It also uses methods that provide means for mapping reservoir quality throughout the field using creation figures results.

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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