Seely Oil recorded an increase of 11.45% in total oil and gas production to 290.81 boe/d in November 2021 when compared with the previous month, according to GlobalData’s USL48 database.
The oil and gas production of Seely Oil grew 68.02% in November 2021 from 173.08 boe/d in November 2020.
On a YTD basis, the company’s total oil and gas production increased by 18.91% from the same period in 2020.
The company’s oil production grew 5.91% to 196.22 bd in November 2021 from the previous month, while gas production up by 25% to 0.55 mmcf/d. On a YTD basis, oil production increased by 27.79% in 2021 when compared with the same period in 2020, while gas production rose by 1.95%. Out of the total oil and gas production in November 2021, oil production held a 67.47% share, while gas production held a 32.61% share.
Looking at the states where Seely Oil recorded the highest oil and gas production in November 2021, New Mexico figured at the top, accounting for a 44.7% share. The company produced 139.76 boe/d in the state in November 2021, an increase of 7.42% from the previous month.
On a YTD basis, the company produced 1,454.22 boe/d in New Mexico in 2021, recording a decrease of 37.36% from the same period in 2020.
Seely Oil witnessed the highest oil and gas production in Lea county in November 2021. Out of all the counties, Lea county held a share of 46.16% for the firm. The company produced 134.23 boe/d in Lea county in November 2021, an increase of 4.49% in production when compared with the previous month.
On a YTD basis, the county produced 1,424.15 boe/d for the company in 2021, a 5.53% decrease from the same period in 2020.
All publicly announced wells data are included in this analysis, which is drawn from GlobalData’s USL48 database that provides insights into oil and gas permits and wells as disclosed by state ministry sites.
GlobalData collects the latest production data and analyses the trends when it is made available for public disclosure by state ministries. Differences, if any, between the period of activity and the article date may be attributed to delays in the issuance of data.