AWS AWS uses acoustic well sounding data and fluid levels, to calculate the pressure at midpoint of perforations of oil wells. The program calculates.

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Presentation transcript:

AWS AWS uses acoustic well sounding data and fluid levels, to calculate the pressure at midpoint of perforations of oil wells. The program calculates the gas and fluid column pressures separately, and adds or subtracts these, to determine the pressure at MPP. Several different methods are available to calculate the gas column pressure. The results can be plotted, checked and reported on a well, group, pool or total basis.

AWS, Sirius Petroleum Software3 AWS Agenda Well data Pool data Fluid analysis data Special Features, System Options, Methods and Correlations Output Reports and Graphs Demo Questions

AWS, Sirius Petroleum Software4 Well Data Wells are defined with a pool, group and a lease. Basic Data: Well name, UWI, group and lease. Elevations: KB, CF, Perforations, Tubing, and Casing. Fluid shots: Type of test, date, casing / tubing pressure, watercut and fluid level.

AWS, Sirius Petroleum Software5 Well Data

AWS, Sirius Petroleum Software6 Test Table

AWS, Sirius Petroleum Software7 Test Data

AWS, Sirius Petroleum Software8 Fluid Level Diagram

AWS, Sirius Petroleum Software9 Pool Data Basic Data: Pool name, Field name, and fluid analysis name. Reservoir Data: Datum, G/O contact, O/W contact and formation temperature.

AWS, Sirius Petroleum Software10 Pool Data

AWS, Sirius Petroleum Software11 Fluid Analysis Data Oil properties. Water properties. Full Gas Analysis: 12 Component gas analysis including N 2, CO 2 and H 2 S, C 7 + properties (Molecular Weight, Specific Gravity) Simple Gas Analysis: 3 non-HC including N 2, CO 2, and H 2 S, and a total gas specific gravity.

AWS, Sirius Petroleum Software12 Fluid Analysis

AWS, Sirius Petroleum Software13 Simple Gas Analysis

AWS, Sirius Petroleum Software14 AWS Special Features Gas PVT correlations –Gas gravity correlation (Thomas, Hankinson and Philips, 1970) –Sour gas correction (Wichert and Aziz, 1972) –z-factor correlation (Biggs and Brill, 1987)

AWS, Sirius Petroleum Software15 AWS Special Features, cont. Fluid Levels –enter fluid level –enter # of joints –enter echo return time (sec) Gas Column –Average Density Method (1972) –Average z-factor average temperature Method –Cullender and Smith (1959)

AWS, Sirius Petroleum Software16 AWS Special Features, cont. Results –Calculates gas, water, oil and mixed columns –Calculates MPP pressure –Calculates tubing fluid level based on casing fluid level Limitations –99 wells, 10 pools, 10 groups, 25 leases and 10 companies –20 different fluid tests per well

AWS, Sirius Petroleum Software17 System Options

AWS, Sirius Petroleum Software18 Correlations

AWS, Sirius Petroleum Software19 Solution Options

AWS, Sirius Petroleum Software20 Output, Reports and Graphs Numerous reports –well, pool, group, lease, company, etc. Numerous graphs –well, pool, group, lease, company, etc. Map –well results.

AWS, Sirius Petroleum Software21 Reports

AWS, Sirius Petroleum Software22 Reports

AWS, Sirius Petroleum Software23 Reports

AWS, Sirius Petroleum Software24 Reports

AWS, Sirius Petroleum Software25 Graphs

AWS, Sirius Petroleum Software26 Gas Analysis

AWS, Sirius Petroleum Software27 Temperature Gradient

AWS, Sirius Petroleum Software28 Pressure Gradient

AWS, Sirius Petroleum Software29 Well Results Map