/shorttermforecast#

This endpoint returns short-term, monthly gas production forecasts for well APIs.

Short-term forecasting achieves two primary functions:

  • Removing gaps that exist in state data by predicting unreported gas production.

  • Predicting future gas production up to three months from a given date.

Endpoint#

POST

https://hyperion.api.synmax.com/v3/shorttermforecast

Usage#

Python#

short_term_forecast(aggregate_by=[None], county=[None], end_date=None, operator=[None], region=[None], start_date=None, state_code=[None], sub_region=[None])#

Returns a prediction of gas production (gas_monthly) for the selected month (start_date).

Object returned is a pandas DataFrame.

⮞ Setup the client.

from synmax.hyperion import HyperionApiClient, ApiPayload
access_token = 'your access token goes here'
client = HyperionApiClient(access_token=access_token)

For a more detailed guide on setting up the Hyperion client, please see the Quickstart page.

⮞ Use parameters to narrow down your request.

payload = ApiPayload(start_date='2021-05-01', end_date='2022-06-25', sub_region=['S LA', 'West - TX'])

Tip

Narrow down your request to receive a faster response. Using no parameters will fetch the entire dataset which may take a very long time.

⮞ Call the function.

result_df = client.short_term_forecast(payload)

⮞ Print the results or save them for later.

# Print the entire response as a string.
print(result_df.to_string())

# Create a CSV file from the output.
result_df.to_csv('output.csv')

# Print the number of items per column.
print(result_df.count())

For more information on outputting to different formats, please see the pandas DataFrame documentation.


Parameters#

Query#

Parameter

Type

Description

Example

aggregate_by

str arr

Aggregate data by a list of parameters.

["date", "region"]

county

str arr

Limit search by a list of counties.

["Beauregard", "Coleman", "Colorado"]

operator

str arr

Limit search to a list of well operators.

["ALLEN BROTHERS", "BP"]

end_date

str [“YYYY-MM-DD”]

Limit search to an end date.

"2022-07-15"

region

str arr

Limit search by a list of regions (clusters of multiple major producing basins).

["GULF", "WEST"]

start_date

str [“YYYY-MM-DD”]

Limit search to a start date.

"2022-06-01"

state_code

str arr

Limit search by a list of state codes.

["LA", "CO"]

sub_region

str arr

Limit search by a list of subregions (clusters of several counties forming a major producing basin).

["S LA", "West - TX"]

Aggregation#

Aggregation provides an overview of overall productions levels for a particular operator or across a given region during a given timeframe.

Data is always implicitly aggregated by date. This means all other column data are grouped by date.

Supported parameters: county, date, operator, region, state_code, sub_region

Response#

Parameter

Type

Description

Example

api

int

An API is a unique, permanent, numeric identifier assigned to each well drilled.

1701121257

county

str

County in the state where the well is located.

“BEAUREGARD”

date

str [“YYYY-MM-DD”]

Forecasted month (unsynced).

“2022-11-01”

forecast_run_date

str [“YYYY-MM-DD”]

Date of forecast generation (unsynced).

“2022-11-01”

gas_daily

float

Average rate of gas production expressed per day (in BCF/day).

23.842

gas_monthly

int

Amount of gas produced over one month (in MCF, or 1 thousand cubic feet).

980

oil_daily

float

The amount of oil produced in a single day (in BBLS, or barrels).

112.9570761

oil_monthly

int

The amount of oil produced over one month (in BBLS, or barrels).

5650

operator_name

str

Operator of the well.

“PIE OPERATING, LLC”

region

str

Aggregation of multiple major producing basins.

“GULF”

state_ab

str

Abbreviation of the state.

“LA”

sub_region

str

Aggregation of several counties, typically representing a major producing basin.

“S LA”

Note

Unsynced data in the date column provide a date at the start of the month. However, the actual reported date is for the end of the month.

For example, if the reported date is “2022-1-10”, this means the data pertains to the month of January and was actually reported on “2022-01-31”.

This means that you should ideally interpret the reported date as representing the whole month and not just the specific date at the start of the month.


Responses#

Normal Output#

api

county

date

forecast_run_date

gas_daily

gas_monthly

oil_daily

oil_monthly

operator_name

region

state_ab

sub_region

1701129920

BEAUREGARD

2022-07-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2022-08-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2022-09-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2022-10-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2022-11-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2022-12-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2023-01-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2023-02-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2023-03-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

1701129920

BEAUREGARD

2023-04-01

2023-06-04

0.0

0.0

0.0

0.0

ALLEN BROTHERS

gulf

LA

S LA

Note

Output data will return as “null” when input data is invalid or does not exist.

Aggregated Output#

Aggregated by…

payload = {
   'aggregate_by': 'county'
}

county

date

forecast_run_date

gas_daily

gas_monthly

oil_daily

oil_monthly

ANDREWS

2022-11-01

2023-06-08

115825.78436442738

3474773.5309328213

258773.0

7763217.0

LAMB

2022-11-01

2023-06-08

841.6508333333333

25249.524999999998

797.0

23921.0

KENT

2022-11-01

2023-06-08

3537.775755050505

106133.27265151514

15111.0

453352.0

CROSBY

2022-11-01

2023-06-08

1433.798099508703

43013.94298526109

0.0

18.0

CHEROKEE

2022-11-01

2023-06-08

48162.56358937687

1444876.9076813061

0.0

0.0

MCCULLOCH

2022-11-01

2023-06-08

77.42716666666666

2322.815

0.0

0.0

PECOS

2022-11-01

2023-06-08

78692.4548316397

2360773.644949191

368171.0

11045133.0

DAWSON

2022-11-01

2023-06-08

8120.412036552593

243612.3610965778

4775.0

143278.0

CULBERSON

2022-11-01

2023-06-08

71958.85077952017

2158765.5233856053

1185937.0

35578132.0

ANDERSON

2022-11-01

2023-06-08

4448.323221717171

133449.6966515151

0.0

0.0

Tip

To better explore using the aggregation functionality interactively, consider using our Excel Add-in. By familiarizing yourself with the available options, you can more efficiently query and process the data for your specific needs. To learn how to use the SynMax Excel Add-in, please refer to our Excel Add-in Documentation.