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.
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.
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.
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.
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.
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.
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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