Bingham Plastic Law
When drilling engineers talk about mud rheology, one model always comes up: the Bingham Plastic Model. It’s simple, useful, and has guided hydraulics calculations for decades. But there are two ways to determine its key parameters — and depending on which way you choose, you may get different answers. Let’s unpack this.
Step 1: The Bingham Plastic Idea
The Bingham model says that mud flow requires a minimum stress to start moving (the yield point, YP), and after that, stress increases linearly with shear rate, with slope equal to the plastic viscosity, PV:
- τ = Shear Stress
- τy = Yield Point
- μp = Plastic Viscosity
- γ = Shear Rate
So to use this model, we need two numbers: PV and YP.
Step 2: The API Two-Point Shortcut
Back in the day, drilling engineers needed something quick and practical. The Fann viscometer gave readings at 600 RPM and 300 RPM. API defined a neat shortcut:
That’s it! Two readings → two numbers. Fast enough for a rig hand to do in their head.
But here’s the catch: this assumes the line connecting the 600 and 300 RPM points represents the entire mud behavior. If the mud doesn’t perfectly follow a straight Bingham line, these estimates can be off.
Step 3: The Graphical/Regression Method
Now imagine plotting all viscometer data points (e.g. 600, 300, 200, 100, 6, 3 RPM) on a shear stress vs. shear rate graph. If you draw the best-fit straight line through them (using regression), you get another pair of PV and YP.
- This method uses all available data, not just two points.
- It gives a more statistically reliable slope (viscosity) and intercept (yield point).
- But it’s also a bit more work (you can’t do it in your head — you need a calculator or spreadsheet).
Why It Matters
- or routine field checks, the API shortcut is good enough.
- For detailed hydraulics modeling, pressure drop, and hole cleaning analysis, the regression method is more accurate because it captures how mud behaves across the entire shear-rate range.
Comparing API Two-Point Method and Regression Method
let’s look at rheology data as shown in the following table.
RPM | Reading | Gamma (reciprocal second) | Measured Tau (pound/100 ft²) | Calculated | Error (EAAP) | Error % |
---|---|---|---|---|---|---|
600 | 1021.800 | 88.561 | – | – | – | |
300 | 510.900 | 55.484 | – | – | – | |
200 | 340.600 | 43.747 | – | – | – | |
100 | 170.300 | 30.943 | – | – | – | |
6 | 10.218 | 9.603 | – | – | – | |
3 | 5.109 | 8.536 | – | – | – | |
Mean Absolute Percentage Error (MAPE)) | – | – |