copy edits from manual proofreading

Author: softwareengineerprogrammer

docs/Fervo_Project_Red.md.jinja

@@ -27,7 +27,7 @@
 
 ---
 
-**Overview:** This document[^author] evaluates the accuracy of the analytical GEOPHIRES Gringarten reservoir model by comparing
+**Overview:** This analysis[^author] evaluates the accuracy of the analytical GEOPHIRES Gringarten reservoir model by comparing
 it against real-world EGS empirical data from the Fervo Energy
 Project Red site released in April 2026.
 For comparative context, it also includes the predictive temperature curve generated by Fervo's proprietary modeling.
@@ -126,7 +126,7 @@ geometry for the Project Red simulation are detailed below:
 | Fracture Shape | `{{ input_params['Fracture Shape'] }}` | {{ input_params_comments['Fracture Shape'] }} |
 | Fracture Height | `{{ input_params['Fracture Height'] }}` | {{ input_params_comments['Fracture Height'] }} |
 | Fracture Width | `{{ input_params['Fracture Width'] }}` | {{ input_params_comments['Fracture Width'] }} |
-| Fracture Separation | `{{ input_params['Fracture Separation'] }}` | {{ input_params_comments['Fracture Separation'] }} |
+| Fracture Separation | `{{ input_params['Fracture Separation'] }} meter` | {{ input_params_comments['Fracture Separation'] }} |
 
 .. raw:: html
 
@@ -141,7 +141,8 @@ Further relevant detailed discussion can be found in the [Cape Station case stud
 
 ### Production Temperature: Measured vs. Modeled
 
-The charts below plot the measured flowing temperature over a roughly two-year period. Data points captured during early thermal conditioning and transient operations (e.g., shut-ins, flow-rate testing) are rendered in gray and excluded from the steady-state statistical alignment.
+The charts below plot the measured flowing temperature over a roughly two-year period, extracted as described in the methodology section.
+Data points captured during early thermal conditioning and transient operations (e.g., shut-ins, flow-rate testing) are rendered in gray and excluded from the steady-state statistical alignment.
 
 ![](_images/fervo_project_red-2026_production-temperature-data-vs-modeling-1.png)
 
@@ -215,7 +216,7 @@ analytical solution.
 
 However, numerical models present massive barriers to entry: they are largely proprietary, computationally intensive,
 and financially expensive. This heavy resource burden severely limits a developer's ability to run rapid parametric
-sweeps, broad sensitivity analyses, or thousands of Monte Carlo iterations—the exact techniques essential for
+sweeps, broad sensitivity analyses, or thousands of Monte Carlo iterations, essential techniques for
 financial risk assessment and project scoping.
 Furthermore, numerical simulators are highly sensitive to site-specific geological parameters (like precise natural
 fracture networks and stress regimes) that are rarely well-defined before millions of dollars have been spent on
@@ -224,7 +225,7 @@ appraisal drilling.
 By contrast, the Gringarten model provides a highly accessible, rapid, and mathematically transparent alternative.
 As validated by the Project Red empirical data, it accurately captures the macro-level thermal drawdown dynamics
 necessary for robust baseline modeling. While its idealized uniform thermal sweep may represent a slightly optimistic
-upper bound for long-term (15-30 year) aggregate heat extraction, its computational efficiency and surprisingly
+upper bound for long-term (15–30 year) aggregate heat extraction, its computational efficiency and surprisingly
 high predictive fidelity make it an indispensable tool.
 It allows developers and researchers to bypass the immense overhead of numerical modeling while still generating
 highly credible techno-economic evaluations.
@@ -241,7 +242,7 @@ These arise from fundamental differences between an idealized techno-economic mo
 
 ### Economic Modeling Framework (SAM Economic Model)
 
-Although this validation document focuses exclusively on reservoir thermal performance and power generation physics,
+Although this analysis focuses exclusively on reservoir thermal performance and power generation physics,
 the underlying GEOPHIRES simulation example incorporates the [System Advisor Model (SAM) Single Owner PPA Economic Model](SAM-Economic-Models.html).
 This replaces the deprecated BICYCLE financial model used in the previous Project Red [example version](#previous-versions-section).