Lease Operators wanted to have a the capability which could automatically interpolate and fill readings across multiple dates. We listened to their concerns and built the capability where, the Admin could setup a reading attribute to be filled in through interpolation, without having to fill in each of the missing readings in the days prior. This greatly reduces the LOs effort in having to manually interpolate and change readings for the previous days.
Production Accountants needed a capability to move infrequent readings from one object to other when they are wrongly entered by the LO. We developed the capability for the admins to easily move an infrequent or as-required reading across reading-dates or across objects if they deem this to have been wrongly entered by the LO, from the field. This helps the Production Accountants save significant time while trying to move readings.
Production Accountants needed a way to allocated energies along with volumes for both monthly and daily allocations. We listened to this requirement of theirs and built the capability where a PA can configure the allocations for networks in such a way that every time Disposition volumes are allocated, their corresponding energies can also be allocated back to the wells. This helps the PAs complete significant portions of the Revenue Accounting alongside Production Accounting.
Production Accountants needed the capability to configure the start-date for an accounting month, different from the 1st of a month. We listened to this concern of theirs and developed the capability where the production allocation module can be configured to use any date in the month as the start date for an accounting month. This helps the PAs align their monthly allocations, purchaser statements and revenue accounts to the accounting dates and not the reading dates.
To create a calculated measure that gives an average of N days starting from any day based on the inputs given on the function.
Analytics users always mentioned the need of more flexible NdayAverage(). Earlier NdayAverage function can be created only by providing the ‘End day’ and Start day was always considered as Yesterday.
Now we allow users to decide on both Start day and End day and Ndayaverage calculated measure can be created for any no of days starting from any day
0 -Today, 1- Yesterday, 2- Day before Yesterday and so on.
Get 7 days average starting from last day :
N_AVG( $(vfact_dailyallocationvolumeresults.vfact_dailyallocationvolumeresults_oil_production) ,7,1)
Get 7 days average starting from today :
N_AVG( $(vfact_dailyallocationvolumeresults.vfact_dailyallocationvolumeresults_oil_production) ,6,0)
Get Previous Week’s average:
N_AVG( $(vfact_dailyallocationvolumeresults.vfact_dailyallocationvolumeresults_oil_production) ,13,7)
Nday Average gives expected result when date is present in the grid or chart.
NDay Average measures cannot be grouped with other function/calculation measures. Measure group should only contain Nday average measures.
Production accountants wanted a way to create reports in analytics which can render data based on Effective dates added from source on master data attributes. In response, Analytics offers a new Dimension “Vdim_Effective_Attributes“ which contains all master data attributes where effective date is enabled from source. Production accountants can use attributes from this new dimension instead of Vdim_property attributes for effective date-based reporting.
Effective date enabled attributes:
Currently Effective Dates are enabled only on Core attributes ( Attributes that are available while tenant provisioning)
We have taken certain assumption in building this feature which are being listed down here
Earlier we did not have a capability to update the Agent details or Additional Inputs while downloading the regulatory reports. From our users we identified that these details may change frequently and so they need to update them with latest details and download the report. With this we provided edit and save capability in these fields of each regulatory report wherever applicable.
Before downloading the report, user can edit and save additional inputs and download the report. Updated information will be saved in the tenant and can be used in next download too.
Operations Admins needed the capability to fetch the the attribute’s value over a range of dates. We listened to their concerns and developed the capability where the values of a particular attribute is fetched by the function for a range of dates which can be compared with a constant, an expression, a picklist and so on in exception condition. This helps in building complex exception conditions quite easily.
Operations Admins needed the capability to fetch the the attribute’s value from the yesterday’s reading. We listened to their concerns and developed the capability where Yesterday’s value is fetched by the function which can be used in exception condition. This helps in building complex exception conditions quite easily.
Operations Admins faced a problem when the assets were is different time zone other than PST since the functions in Alert Configuration used PST date and Time. We listened to their concerns and developed the capability where the admin can decide the timezone of choice for functions to match it with the readings’ timezone for the assets. This helps in easily managing the alerts for fields in different timezones.
Operations Admins needed a capability where DataInputMethodID and AuthorityLevelID are available as a picklist. We listened to their concerns and converted these integer attributes to picklist in the variables sections to be used in exception condition. This helps in saving the hassle to remember the IDs for different options which in turn helps in building complicated exception conditions easily.
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Bonus Content: Check out the article, blogs and webinar recording to hear what Phil Knight and Rick Hatcher have to say about JOYN Oil & Gas Production.
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Rick Hatcher Ex-CIO
Whiting Petroleum Corp
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