1. Отношение средней приемистости к среднему дебиту жидкости в зависимости от соотношения добывающих к нагнетательным скважинам.
Для анализа рассчитали таблицу 3. В столбцах 1-4, 6-7 исходные данные по варианту. Таблица 3
год
| приемистость
| дебит нефти
| дебит жидкости
|
![](data:image/png;base64,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)
| действ. фонд
|
![](data:image/png;base64,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)
| добывающий
| нагнетательный
| 1987
| 106,5
| 17,2
| 21,5
| 4,2227
| 8
| 6
| 1,3333
| 1988
| 103,1
| 18
| 21,9
| 3,9973
| 9
| 6
| 1,5000
| 1989
| 61,9
| 15,7
| 23,8
| 2,2754
| 17
| 6
| 2,8333
| 1990
| 43,8
| 13,8
| 24,8
| 1,5755
| 21
| 6
| 3,5000
| 1991
| 46,6
| 12,2
| 30,9
| 1,3881
| 25
| 6
| 4,1667
| 1992
| 44,9
| 10
| 32
| 1,3128
| 22
| 6
| 3,6667
| 1993
| 86,5
| 10,3
| 25,6
| 3,1055
| 20
| 8
| 2,5000
| 1994
| 77
| 10,6
| 33,2
| 2,1670
| 18
| 9
| 2,0000
| 1995
| 75
| 9,5
| 39,6
| 1,7981
| 17
| 8
| 2,1250
| 1996
| 84,9
| 11,8
| 36
| 2,1998
| 14
| 9
| 1,5556
| 1997
| 69
| 13,7
| 38,3
| 1,6705
| 13
| 9
| 1,4444
| 1998
| 61,8
| 10,9
| 41
| 1,4235
| 13
| 8
| 1,6250
| 1999
| 73,3
| 12,1
| 38,8
| 1,7678
| 15
| 11
| 1,3636
| 2000
| 74,7
| 9,3
| 38,5
| 1,8415
| 17
| 11
| 1,5455
| 2001
| 106,6
| 6,5
| 37,6
| 2,7288
| 16
| 11
| 1,4545
| 2002
| 104,2
| 5,7
| 47,7
| 2,1259
| 16
| 10
| 1,6000
| 2003
| 112,5
| 5,2
| 53,1
| 2,0711
| 16
| 8
| 2,0000
| 2004
| 126,7
| 6
| 61,2
| 2,0238
| 15
| 8
| 1,8750
| 2005
| 119,4
| 7,7
| 65,3
| 1,7800
| 12
| 7
| 1,7143
| 2006
| 112,1
| 4,7
| 78,5
| 1,4072
| 12
| 9
| 1,3333
| 2007
| 153,7
| 4,8
| 103,4
| 1,4689
| 12
| 10
| 1,2000
| 2008
| 172,9
| 5,6
| 117,3
| 1,4562
| 12
| 10
| 1,2000
| 2009
| 135,3
| 5
| 148,9
| 0,9004
| 10
| 9
| 1,1111
| 2010
| 109,1
| 4,8
| 141,3
| 0,7650
| 10
| 9
| 1,1111
|
.
.
Для остальных значений рассчитано аналогично. Данные занесены в таблицу 3. По расчетам построен точечный график (рисунок 3) и проведен его анализ.
![](data:image/png;base64,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) Рисунок 3 – Отношение средней приемистости к среднему дебиту жидкости в зависимости от 𝑁доб/𝑁нагн
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