mt反演代码
时间: 2023-07-02 16:06:06 浏览: 48
MT反演是一种地球物理勘探方法,需要进行电磁场的数值模拟和反演计算。下面是一个简单的MT反演代码示例:
```python
import numpy as np
import matplotlib.pyplot as plt
# 定义函数,计算传感器接收到的电磁场数据
def calculate_data(freq, resistivity):
omega = 2 * np.pi * freq
mu0 = 4 * np.pi * 1e-7
epsilon0 = 8.85e-12
c = 1 / np.sqrt(mu0 * epsilon0)
x = c * np.sqrt(2 * np.pi * freq * mu0 / resistivity)
Z = np.complex(resistivity * omega * epsilon0, x)
s11 = (Z - 377) / (Z + 377)
s12 = 2 * 377 / (Z + 377)
s21 = 2 / (Z + 377)
s22 = (Z - 377) / (Z + 377)
return np.abs(s21) ** 2
# 生成模拟数据
freqs = np.logspace(-4, 4, 100) # 频率范围
resistivities = np.logspace(-1, 6, 100) # 电阻率范围
data = np.zeros((len(freqs), len(resistivities)))
for i, freq in enumerate(freqs):
for j, resistivity in enumerate(resistivities):
data[i, j] = calculate_data(freq, resistivity)
# 绘制图像
fig, ax = plt.subplots()
c = ax.contourf(resistivities, freqs, np.log10(data), levels=50, cmap='jet')
ax.set_xscale('log')
ax.set_yscale('log')
ax.set_xlabel('Resistivity (ohm-m)')
ax.set_ylabel('Frequency (Hz)')
cbar = plt.colorbar(c)
cbar.set_label('Log10 Amplitude')
plt.show()
```
该代码实现了一个简单的MT反演过程,根据不同的电阻率范围和频率范围,计算传感器接收到的电磁场数据,并绘制出反演结果的图像。