Cutoffgrade / exercises /geo_interp.py
Hamza Salhi
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import streamlit as st
import funcs
def geo_interp():
st.title("Geological Interpretation")
st.markdown("## Question 1: Pick a modelling cut-off")
st.markdown("")
st.markdown("You are tasked with building a Mineral Resource domain for a typical orogenic gold deposit of Ontario.")
st.markdown("The mineralization is erratic and, for the most part, is hosted within a fractured basalt.")
st.markdown("Review the following cross sections showing mineralization at a variety of cut-off grades, as well as lithology and answer the following questions:")
q1_options = ["Select an Answer",
"25% of the economic cut-off",
"50% of the economic cut-off",
"75% of the economic cut-off",
"100% of the economic cut-off",
"Limit to host lithology irrespective of grade"]
st.radio("What cut-off grade will you use to guide your Mineralization Domain?", options=q1_options, key="q1")
q2_options = ["Select an Answer",
"I will need to manage high grades.",
"I will need to carefully design the interpolation to not over-smooth grades.",
"I will need to be cautious about how I connect mineralization in less tightly drilled areas.",
"I will need to confirm this choice using exploratory data analysis (EDA)."]
st.radio("How will this choice impact how I design the downstream workflow for Mineral Resource estimation?", options=q2_options, key="q2")
col1, col2, col3 = st.beta_columns((1,1,1))
with col1:
st.write("")
st.write("Litho")
st.write("")
st.write("")
st.image("..//pdac2021_res_est_course_link2//images//litho.jpg", width=400)
with col2:
cog = st.slider("Select a cut-off (% of economic cut-off)", min_value=0,value=0, step=1, max_value=3, key="sl1")
st.image("..//pdac2021_res_est_course_link2//images//gt" + str(int(cog)) + ".jpg", width=400)
with col3:
cog2 = st.slider("Select a cut-off (% of economic cut-off)", min_value=0, value=0, step=1, max_value=4, key="sl2")
st.image("..//pdac2021_res_est_course_link2//images//gt2" + str(int(cog2))+ ".jpg", width=400)
st.markdown("## Question 2: Choose a domaining strategy")
st.markdown("")
text = funcs.get_text_block("geo_interp_q2.txt")
st.markdown(text)
q3_options = ["Select an Answer",
"All together.",
"All separate.",
"There is no need to model phosphorus.",
"Silica and iron together, phosphorus separate."]
st.radio("How will I domain and estimate these elements?", options=q3_options, key="q3")
colz1, colz2, colz3 = st.beta_columns((1,1,1))
with colz1:
st.write("")
st.write("")
st.write("")
st.write("")
st.image("..//pdac2021_res_est_course_link2//images//flow_chart.jpg", width=350)
with colz2:
sel_graph = st.selectbox("Select Graph", options=['Fe vs Si', 'P vs Si'], index=0, key='g1')
if sel_graph == 'Fe vs Si':
inp = 'fesi.jpg'
else:
inp = 'psi.jpg'
st.image("..//pdac2021_res_est_course_link2//images//" + inp, width=300)
with colz3:
sel_sect = st.selectbox("Display Section", options=['Si', 'Fe', 'P'], index=0, key='g1')
st.image("..//pdac2021_res_est_course_link2//images//" + sel_sect + "_sect.jpg", width=500)