4 Problems — Cooper-Jacob Time-Drawdown & Distance-Drawdown Methods
A. Theis Equation (general transient well flow):
B. Cooper-Jacob Approximation (valid for small u, i.e., large t or small r):
C. Cooper-Jacob Time-Drawdown Method (plot s vs log10 t):
D. Thiem Distance-Drawdown Method (steady state, plot s vs log10 r):
| Symbol | Typical Range | SI Unit |
|---|---|---|
| \(T\) | 50–5000 m²/day | m²/day or m²/s |
| \(S\) (confined) | 10−5–10−3 | dimensionless |
| \(S\) (unconfined) | 0.01–0.30 | dimensionless |
| \(\Delta s\) | 0.1–2 m per log cycle | m |
| \(t_0\) | 10−5–10−2 days | days |
| \(R_0\) | 100–1000 m | m |
The Theis well function \(W(u)\) is an infinite series: \(W(u) = -0.5772 - \ln u + u - u^2/4 + \ldots\). When \(u < 0.01\) (which happens for large \(t\) or small \(r\)), terms beyond \(-\ln u\) become negligible. Substituting \(u = r^2S/(4Tt)\):
This is a semi-log straight line when plotting s vs log(t). The slope = \(\Delta s\) per log cycle = \(2.303Q/(4\pi T)\), from which T can be extracted.
The approximation requires \(u = r^2S/(4Tt) < 0.01\). Check after finding T and S:
Question: A pumping test in a confined aquifer (Q = 1000 m³/day) has an observation well at r = 100 m. Use the Cooper-Jacob method to find T and S from the following data.
| Pumping rate, \(Q\) | 1000 m³/day |
| Observation well distance, \(r\) | 100 m |
| t (days) | 0.001 | 0.005 | 0.01 | 0.05 | 0.1 | 0.5 | 1 | 5 | 10 |
|---|---|---|---|---|---|---|---|---|---|
| s (m) | 0.083 | 0.196 | 0.249 | 0.376 | 0.431 | 0.559 | 0.614 | 0.742 | 0.797 |
Step 1 — Plot s vs log10(t) and fit a straight line. The data is remarkably linear from the start, confirming the Cooper-Jacob approximation is valid.
Step 2 — Determine Δs per log cycle. Reading from the data:
Cross-check: t = 0.1 → 0.431, t = 1 → 0.614: \(\Delta s = 0.183\) m. ✓
Average \(\Delta s \approx 0.183\) m per log cycle.
Step 3 — Compute Transmissivity T.
Step 4 — Find t0 (where s = 0 on the line).
Using the line equation from point (t = 1, s = 0.614):
Step 5 — Compute Storage Coefficient S.
Note: These two examinations present the exact same data as Problem 13 (Q = 1000 m³/day, r = 100 m, identical time-drawdown table). The solution method and answers are identical:
This problem has appeared in 3 out of 4 exam years (2072, 2073, 2078). It is the most frequently asked numerical in the entire course. Master the Cooper-Jacob procedure above and you are guaranteed marks.
Question: Steady-state discharge Q = 0.025 m³/s. Data from multiple observation wells in a confined aquifer. Calculate radius of influence and transmissivity.
| Discharge, \(Q\) | 0.025 m³/s |
| r (m) | 7 | 30 | 60 | 100 | 160 | 200 |
|---|---|---|---|---|---|---|
| s (m) | 1.30 | 0.95 | 0.71 | 0.535 | 0.36 | 0.29 |
Step 1 — Plot s vs log10(r). The drawdown decreases with distance (as expected — water further from the well is less affected). On a semi-log plot with linear s-axis and log r-axis, the data forms a straight line.
Step 2 — Determine Δs per log cycle of r.
Reading the best-fit line between r = 10 (interpolated s ≈ 1.21) and r = 100 (s = 0.535):
Cross-check with another log cycle: from r = 100 (s = 0.535) to r = 1000 (extrapolated s ≈ 0, where the line reaches zero). This gives Δs ≈ 0.535/0.787 cycles ≈ 0.68 m/cycle. ✓
Step 3 — Compute Transmissivity.
Step 4 — Find Radius of Influence R0.
Extend the straight line to s = 0. Using the line equation from (r = 100, s = 0.535):
At \(s = 0\), using the known point (r = 100, s = 0.535):
| Feature | Time-Drawdown (Cooper-Jacob) | Distance-Drawdown (Thiem) |
|---|---|---|
| Data source | One observation well, multiple times | Multiple observation wells, one time |
| Plot | s vs log(t) | s vs log(r) |
| T formula | \(T = 2.303Q/(4\pi\Delta s)\) | \(T = 2.303Q/(2\pi\Delta s)\) |
| Second parameter | S from t0 | R0 from s = 0 intercept |
| Flow condition | Transient (time-varying) | Steady-state |
| Equipment needed | 1 observation well + time readings | Multiple observation wells at different r |