Flowing Bottom Hole Pressure (Gas Producing Wells)

The first law of thermodynamics (conservation of energy) governs gas flow in tubing.

Wellbore performance analysis involves establishing a relationship between tubular size, wellhead and bottom-hole pressure, fluid properties, and fluid production rate. Understanding wellbore flow performance is vitally important to production engineers for designing oil well equipment and optimizing well production conditions.

Reference: Petroleum Production Engineering, Boyun Guo, Xinghui Liu, Xuehao Tan

Correlations

  • 1-Average Temperature and Z-Factor
  • 2-Cullender and Smith
  • 3-Guo and Ghalambor

Input Parameters

NameInput Value - UnitConverted ValueValidityLink to Calculation Page
Gas Specific Gravity (ɣg)

0.71

SG

Average Surface Gas Gravity (ɣg)
Tubing Diameter

2.259

in

Relative Roughness (ε/d) More Details

0.0006

-

Tubing Length

10000

ft

Well Average Inclination Angle

0

Degrees

Well Deviation from Vertical
Wellhead Flowing Pressure (Phf)

800

psi

Wellhead Temperature (Thf)

609.67

°R

Bottom Hole Temperature (Twf)

659.67

°R

Well Gas Flow Rate (Qsc

2

Million ft/day - mmscf/day

Oil Production Rate

1000

bbl/day - bpd

Oil Specific Gravity

0.85

SG

Water Production Rate

300

bbl/day - bpd

Water Specific Gravity

1.05

SG

Solid Production Rate

1

ft/day - scf/day

Solid Specific Gravity

2.65

SG

Friction Factor Calculation Method

1

Z-Factor Calculation Method

3

Pseudo Properties Calculation Method

2

Pseudo Critical Properties Correction Method

2

N2 Content

0

%

CO2 Content

0

%

H2S Content

0

%

CALCULATE

Results

CorrelationCalculated ValueWarningsRemarks
1-Average Temperature and Z-Factor1071.426psiSingle average values of temperature and compressibility factor over the entire tubing length is assumed. This correlation is for pure gas flow.
2-Cullender and Smith929.138psiThis correlation is for pure gas flow.
3-Guo and Ghalambor2563.156psiThis correlation is used for impure gas flows (gas-oil-water-sand four-phase flow model)