Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart

Table 4

The results of calibration of storage tank with deflection of actual storage tank without correction by BP neural network.

Site 1		Site 2		Site 3		Site 4
OH/cm	TOR/L	OH/cm	TOR/L	OH/cm	TOR/L	OH/cm	TOR/L
0	3.58	80	11827.88	160	33484.74	240	54967.27
10	140.31	90	14271.04	170	36340.02	250	57230.13
20	885.88	100	16823.93	180	39177.91	260	59331.74
30	2084.66	110	19468.14	190	41983.45	270	61244.02
40	3601.50	120	22186.49	200	44741.33	280	62931.80
50	5372.10	130	24962.73	210	47435.73	290	64346.91
60	7353.89	140	27781.26	220	50050.13	300	65410.85
70	9514.61	150	30626.89	230	52566.96

Where OH is oil height and TOR is theoretical oil reserve.