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Open-FF

Indiana This file was generated on August 29, 2026 from data repository: openFF_data_2026_08_27.

Sponsored by FracTracker Alliance

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Links and Resources

FracTracker Alliance maps of Indiana

Where are the fracking locations in this state?

This is not an exhaustive set of wells in these counties; it is only those wells for which the operating company submits a chemical disclosure to FracFocus. In addition, this map omits disclosures for which location information is conflicting, such as the Latitude/Longitude values are outside of the reported county.

by county

by watershed

Applying simplification with tolerance: 500 meters

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Number of disclosures per month

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[10], line 15
     11 gb3 = gb[gb.no_chem_recs].groupby('date').size()
     12 # alldfv1 = master_df[~master_df.ingKeyPresent].groupby('DisclosureId',as_index=False)[['date','TotalBaseWaterVolume']].first()
     13 # gbv1 = gb3.groupby('date').size()
     14 allwk_sumv1 = gb3.resample("ME").sum()
---> 15 allwk_sumv1.plot(ax=ax,label='without chemical records');
     16 ax.legend();
     17 plt.tight_layout()
     18 plt.savefig(os.path.join(hndl.browser_states_dir,state_file_handle,'number_disc_in_state.jpg'))

File ~\anaconda3\envs\openClean\Lib\site-packages\pandas\plotting\_core.py:1185, in PlotAccessor.__call__(self, *args, **kwargs)
   1182             label_name = label_kw or data.columns
   1183             data.columns = label_name
-> 1185 return plot_backend.plot(data, kind=kind, **kwargs)

File ~\anaconda3\envs\openClean\Lib\site-packages\pandas\plotting\_matplotlib\__init__.py:71, in plot(data, kind, **kwargs)
     69         kwargs["ax"] = getattr(ax, "left_ax", ax)
     70 plot_obj = PLOT_CLASSES[kind](data, **kwargs)
---> 71 plot_obj.generate()
     72 plt.draw_if_interactive()
     73 return plot_obj.result

File ~\anaconda3\envs\openClean\Lib\site-packages\pandas\plotting\_matplotlib\core.py:518, in MPLPlot.generate(self)
    516 self._compute_plot_data()
    517 fig = self.fig
--> 518 self._make_plot(fig)
    519 self._add_table()
    520 self._make_legend()

File ~\anaconda3\envs\openClean\Lib\site-packages\pandas\plotting\_matplotlib\core.py:1612, in LinePlot._make_plot(self, fig)
   1608 if self._is_ts_plot():
   1609     # reset of xlim should be used for ts data
   1610     # TODO: GH28021, should find a way to change view limit on xaxis
   1611     lines = get_all_lines(ax)
-> 1612     left, right = get_xlim(lines)
   1613     ax.set_xlim(left, right)

File ~\anaconda3\envs\openClean\Lib\site-packages\pandas\plotting\_matplotlib\tools.py:489, in get_xlim(lines)
    487 for line in lines:
    488     x = line.get_xdata(orig=False)
--> 489     left = min(np.nanmin(x), left)
    490     right = max(np.nanmax(x), right)
    491 return left, right

File ~\anaconda3\envs\openClean\Lib\site-packages\numpy\lib\_nanfunctions_impl.py:356, in nanmin(a, axis, out, keepdims, initial, where)
    351     kwargs['where'] = where
    353 if (type(a) is np.ndarray or type(a) is np.memmap) and a.dtype != np.object_:
    354     # Fast, but not safe for subclasses of ndarray, or object arrays,
    355     # which do not implement isnan (gh-9009), or fmin correctly (gh-8975)
--> 356     res = np.fmin.reduce(a, axis=axis, out=out, **kwargs)
    357     if np.isnan(res).any():
    358         warnings.warn("All-NaN slice encountered", RuntimeWarning,
    359                       stacklevel=2)

ValueError: zero-size array to reduction operation fmin which has no identity

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Water use

Gallons used, recorded as TotalBaseWaterVolume

---------------------------------------------------------------------------
ZeroDivisionError                         Traceback (most recent call last)
Cell In[12], line 16
     12 num_ws_disc = len(gb[c1])
     13 
     14 # all_disc = len(gb)
     15 all_disc_since_start = len(gb[c3])
---> 16 frac_ws_disc = num_ws_disc/all_disc_since_start
     17 
     18 
     19 if num_ws_disc >5:

ZeroDivisionError: division by zero

County-based details

Click on the county name in the table to view a county summary page.

Loading ITables v2.8.1 from the init_notebook_mode cell... (need help?)

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Trade Secret designations

Who are the Operators in this state?

Loading ITables v2.8.1 from the init_notebook_mode cell... (need help?)

Duplicate records

As of Aug. 2024, the disclosures of many operator companies had apparently unintentional duplicate records in them. Such duplicates can distort calculations of chemical quantity. In this section, we compare the current status of those records for this state with the baseline taken in Aug. 2024.

No duplicates found in baseline (August 2024)

No duplicates found in current data set