Plot an Arps curve

Shows how to plot curves.

import matplotlib.pyplot as plt
import numpy as np

from dca.datasets import load_monthly_sodir_production
from dca.decline_curve_analysis import Arps

# Load data to plot
df = (
    load_monthly_sodir_production()
    .loc[lambda df: df["prfInformationCarrier"] == "STATFJORD", :]
    .groupby("prfYear")["prfPrdOilNetMillSm3"]
    .sum()
)


x = df.index - df.index.min()
y = np.log(df.values)  # Take log of production
plt.plot(x, y, "-o", label="Data")

# Plot a few log-curves
x = np.linspace(0, 64)  # Evaluation grid

curve = Arps(7.3, 1.7, -1.9)
plt.plot(x, curve.eval_log(x), label="Arps curve 1")

curve = Arps(8.2, 1.2, -1.4)
plt.plot(x, curve.eval_log(x), label="Arps curve 2")

curve = Arps(7.1, 1.8, -2)
plt.plot(x, curve.eval_log(x), label="Arps curve 3")


plt.xlabel("Months since production start")
plt.ylabel("log Production")
plt.grid(True, ls="--", alpha=0.33)
plt.legend()
plt.show()