OpenServer variables explained

Transcript

1. Production Enhancement and Surveillance Well Modeling KL 2015 1 OpenServer variables explained
2. Production Enhancement and Surveillance Well Modeling KL 2015 2 Characteristics of OpenServer variables o They can be read from any programming language that uses COM o They can be invoked from within a Petex application with Ctrl and right-click of the mouse o The index of the variables can be used for iteration o They are -most of the times-, returned as strings, array of strings o There are few special characters that can be used as wildcards. Example: the dollar sign $
3. Production Enhancement and Surveillance Well Modeling KL 2015 3 Reading OpenServer variables o Sometimes variables are named as scalars. PROSPER.SIN.IPR.Single.MLayDp[1].PRESSURE PROSPER.PVT.Table.Data[0][0][11] PROSPER.OUT.VIM.Correlations[8].Test[2]. DifOilRate o There are different type of arrays o 1D, 2D and 3D arrays o Arrays and variable names can be combined o Other times, they are indexed as in the case of GOR. PROSPER.PVT.Table.Data[0][0][17] PROSPER.PVT.Match.Data[0][2][11] PROSPER.ANL.VMT.Data[0].IPRs[8] PROSPER.OUT.VIM.Correlations[8].Test[2]. IPRpres[3]
4. Production Enhancement and Surveillance Well Modeling KL 2015 4 The index in OpenServer variables o The index count starts at zero for the rows and also for the arrays elements o VLP correlations are identified by an index o Well Tests are identified by an index o PVT tables are also identified by an index. There are 50 PVT tables, indexed from 0 to 49
5. Production Enhancement and Surveillance Well Modeling Alfonso R. Reyes, KL 2015 5 • Prosper variables o Layer pressure for layer #2. o The non-perforated layer or blank also is counted. Prosper variables PROSPER.SIN.IPR.Single.MLayDp[1].PRESSURE Layer 1 Layer 2 Layer 3 index=1, layer #2 variable 1D arrays – Multi Layer screen
6. Production Enhancement and Surveillance Well Modeling Alfonso R. Reyes, KL 2015 6 This is the difference in solution oil rate (DifOilRate) for test #3 and VLP #9 Prosper variables 2D arrays – Match VLP screen PROSPER.OUT.VIM.Correlations[8].Test[2].DifOilRate Correlation # 9 Test #3 variable test correlation
7. Production Enhancement and Surveillance Well Modeling Alfonso R. Reyes, KL 2015 7 2D arrays – IPR adjust screen • Prosper variables IPR pressure for well test #1 Prosper variables PROSPER.ANL.VMT.Data[0].IPRs[8] test #1 point 8 = row 9 This corresponds to the IPR pressure at row 9 of the test #1 Test #1
8. Production Enhancement and Surveillance Well Modeling Alfonso R. Reyes, KL 2015 8 3D arrays – Match VLP This is the IPR pressure for row #4 of VLP curve #9 of well test #3. Prosper variables PROSPER.OUT.VIM.Correlations[8].Test[2].IPRpres[3] correlation IPR Pressure index=3, row 4 well test index=2, row 3 index=3, row 4
9. Production Enhancement and Surveillance Well Modeling Alfonso R. Reyes, KL 2015 9 3D arrays – PVT Matching screen PROSPER.PVT.Match.Data[0][2][11] Prosper variables GOR (variable #11) for point #2 in table #0. table #1 Index=2, row #3 PVT variable #11: GOR o Pressure is variable #3; Oil FVF is #4; Oil viscosity is #5; GOR is #11 o Tables are numbered from 1 to 50 but their indexes are [0:49]
10. Production Enhancement and Surveillance Well Modeling Alfonso R. Reyes, KL 2015 10 3D arrays – PVT Lookup Table Prosper variables The variable corresponds to the first row of the first table for variable #11, GOR This other variable corresponds to oil compressibility, #17 PROSPER.PVT.Table.Data[0][0][11] Index=0, row #1 PVT variable: GOR Index=0, table #1 This is the lookup table for PVT matching. PROSPER.PVT.Table.Data[0][0][17] point #0 = row #1 PVT variable: oil compressibility table #1