Net pay

docs/index.rst

@@ -24,6 +24,7 @@ and develop routines in Python to solve geological and geophysical problems. Mai
    usage/quickstart
 
    modules/petrophysics/index
+   modules/reservoir/index
    modules/rockphysics
    modules/pseudowells
    modules/machinelearning/index

docs/modules/reservoir/index.rst

@@ -0,0 +1,15 @@
+=========================
+Reservoir
+=========================
+
+**About:** This section contains documentation for the Reservoir analysis module.
+
+.. toctree::
+   :maxdepth: 1
+
+   net_pay
+
+References
+----------------
+
+.. footbibliography::

docs/modules/reservoir/net_pay.rst

@@ -0,0 +1,18 @@
+=========================
+Net Pay
+=========================
+
+This section is about some methods to stimate some reservoir properties, such as net pay, based on well log data.
+
+Basic Calculations
+------------------
+
+.. automodule:: stoneforge.petrophysics.net_pay
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+References
+----------------
+
+.. footbibliography::

docs/refs.bib

@@ -34,6 +34,7 @@ @misc{freire2020youtube
     urldate = {2025-07-27}
 }
 
+
 @book{schon1998physical,
     title={Physical Properties of Rocks: Fundamentals and Principles of Petrophysics},
     author={Schön, J.},
@@ -587,4 +588,22 @@ @proceedings{dias2023
 pages = {1-6},
 year = {2023},
 url = {https://sbgf.org.br/mysbgf/eventos/expanded_abstracts/18th_CISBGf/82aa4b0af34c2313a562076992e50aa3INTELIG%C3%8ANCIA%20ARTIFICIAL%20APLICADA%20%C3%80%20PREDI%C3%87%C3%83O%20DE%20F%C3%81CIES%20EVAPOR%C3%8DTICAS%20NA%20BACIA%20DE%20SANTOS.pdf}
+}
+
+# Net Pay
+# --------------------------------------------------------------- #
+@book{girao2013,
+    title={Perfilagem Geofísica em Poço Aberto: Fundamentos básicos com ênfase em petróleo},
+    author={Nery, G. G.},
+    url={https://sbgf.org.br/mysbgf/livros/perfilagem.php},
+    year={2013},
+    publisher={SBGF}
+}
+
+@misc{crain1999,
+    author       = {Crain, E.\ R.\ (Ross)},
+    title        = {Crain's Petrophysical Handbook},
+    year         = {1999},
+    note         = {Accessed: 2026-02-23.},
+    url          = {https://spec2000.net/index.htm}
 }

examples/petrophysics/3_permeability.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "f01ede3b-a728-45e6-91f4-fa7be84c3d0e",
    "metadata": {},
    "outputs": [],
@@ -13,7 +13,7 @@
     "from stoneforge.petrophysics.shale_volume import vshale_larionov_old\n",
     "from stoneforge.petrophysics.porosity import density_porosity\n",
     "from stoneforge.petrophysics.permeability import timur, coates_dumanoir, coates\n",
-    "from stoneforge import datasets\n",
+    "from stoneforge.data_management.preprocessing import DataLoader\n",
     "from stoneforge.vis import wellplot\n",
     "\n",
     "import numpy as np\n",
@@ -23,7 +23,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "897e65cb",
    "metadata": {},
    "outputs": [
@@ -251,23 +251,22 @@
        "[15693 rows x 11 columns]"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Accessing Internal Dataframe for DP1 Well\n",
     "\n",
-    "DATA = datasets.NPRAlaska()\n",
-    "DATA.dp1\n",
-    "data_DP1, units_DP1 = DATA.dp1.dataframe(DATA.dp1.data_obj.data)\n",
+    "DATA = DataLoader(r\"https://raw.githubusercontent.com/giecaruff/datasets/refs/heads/main/wells/las2/npra/DP1.las\", filetype='las2')\n",
+    "data_DP1, units_DP1 = DATA.dataframe(DATA.data_obj.data)\n",
     "data_DP1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "3e4145b1-2f7d-4528-ac16-f9529bbf82cd",
    "metadata": {},
    "outputs": [
@@ -287,7 +286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "id": "53facb08-02ea-48f0-923a-d7a8e5debd5e",
    "metadata": {},
    "outputs": [
@@ -317,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "id": "83e3345a-05fa-4565-87e6-475f9c6a31e2",
    "metadata": {},
    "outputs": [
@@ -545,7 +544,7 @@
        "[9885 rows x 11 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -560,7 +559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "af5f62d1-4ace-4889-b533-e1bad90b8986",
    "metadata": {},
    "outputs": [
@@ -583,7 +582,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "1cf409c4-3e17-4ab3-97db-873af4ce48e6",
    "metadata": {},
    "outputs": [
@@ -607,7 +606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "id": "d2075aa8",
    "metadata": {},
    "outputs": [
@@ -699,7 +698,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "080be12e-8f26-466d-bb3b-875d0eda23e2",
    "metadata": {},
    "outputs": [
@@ -735,7 +734,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "stoneforge",
+   "display_name": "forge",
    "language": "python",
    "name": "python3"
   },
@@ -749,7 +748,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.0"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,