economic-sensitivity-analyzer

To perform sensitivity analysis on project NPV, provide a base set of economic parameters and desired variation ranges. The analysis computes spider diagrams, 2D sensitivity surfaces, and breakeven thresholds to show how input changes affect NPV.

A spider diagram compares relative NPV outcomes across multiple variables simultaneously. You need it for economic modeling when evaluating capital allocation and risk-aware decision-making to understand which input changes most heavily influence project NPV.

Yes, Python with numpy, SciPy, and Plotly is required to compute, visualize, and export multi-parameter project economics results. These dependencies handle the mathematical calculations and generate interactive plots like spider diagrams and contour surfaces.

Yes, breakeven analysis identifies the specific price or cost thresholds where project NPV crosses zero, allowing you to quantify operational margins. This helps determine the minimum economic conditions required to proceed with oil and gas investments.

The best approach is to build scenario matrices by defining low, mid, and high parameter cases, then computing expected NPV values for each scenario. This produces decision-support dashboards that visualize investment options for portfolio planning and capital allocation.

Unexpected NPV interactions on a 2D sensitivity surface typically occur when two input variables have nonlinear compounding effects on project economics. Contour plots visualize these interactions, revealing complex relationships between paired inputs and their combined effect on NPV.