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.
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.
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.
Deconvolution does not apply in the examination of creation figures for Lower quality/ pressure information but it may provide significant diagnostic value for creation data. Incorrect estimates of the initial reservoir pressure and/or the wrong location of the pressure measurements can also yield significant inconsistencies, then, constant rate pressure response function cannot be solved.
History Matching HM is also a method that is used in creation information breakdown and it is described by using the results of TCM which are area drainage, assumed parameters and bottom hole pressure as a starting point. This is because HM does not include any unique solutions hence using the already known parameters saves on time and there is a high probability for a better match.
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.
Data that has well being researched on and collected without any bias or inconsistency then it should be able to arrive on accurate estimations rates and pressure data ant these findings should be sturdy and dependable and can stand in comparison to estimations from analyzed transient records. It should also present a model of history matching as a move to help compare pressure and raw rate records.
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.
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.
Deconvolution does not apply in the examination of creation figures for Lower quality/ pressure information but it may provide significant diagnostic value for creation data. Incorrect estimates of the initial reservoir pressure and/or the wrong location of the pressure measurements can also yield significant inconsistencies, then, constant rate pressure response function cannot be solved.
History Matching HM is also a method that is used in creation information breakdown and it is described by using the results of TCM which are area drainage, assumed parameters and bottom hole pressure as a starting point. This is because HM does not include any unique solutions hence using the already known parameters saves on time and there is a high probability for a better match.
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.
Data that has well being researched on and collected without any bias or inconsistency then it should be able to arrive on accurate estimations rates and pressure data ant these findings should be sturdy and dependable and can stand in comparison to estimations from analyzed transient records. It should also present a model of history matching as a move to help compare pressure and raw rate records.
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