GaS_GeoT: A computer program for an effective use of newly improved gas geothermometers in predicting reliable geothermal reservoir temperatures

Acevedo-Anicasio, A.; Santoyo, E.; Pérez-Zárate, D.; Pandarinath, Kailasa; Guevara, M.; Díaz-González, L.

doi:10.1186/s40517-020-00182-9

Geothermal Energy

Science – Society – Technology

Table 5 Ranking score and optimal selection of the eight ANN architectures using the MCDA method

From: GaS_GeoT: A computer program for an effective use of newly improved gas geothermometers in predicting reliable geothermal reservoir temperatures

Ranking/best selection	Neural network model	ANN architecture	Score				Score average
Ranking/best selection	Neural network model	ANN architecture	Scenario 1	Scenario 2	Scenario 3	Scenario 4	Score average
1	ANN-22^a	[3-34-1]	8.45	8.12	8.58	8.74	8.47
2	ANN-12^a	[4-13-1]	8.38	7.98	8.68	8.57	8.40
3	ANN-25^a	[4-10-1]	8.23	7.94	8.37	8.45	8.25
4	ANN-13^a	[5-9-1]	8.18	7.78	8.50	8.36	8.20
5	ANN-23^a	[3-15-1]	8.12	7.76	8.39	8.31	8.15
6	ANN-7^a	[3-18-1]	8.11	7.68	8.45	8.32	8.14
7	ANN-9^a	[3-15-1]	8.04	7.63	8.37	8.21	8.06
8	ANN-20^a	[3-18-1]	8.02	7.68	8.31	8.15	8.04
9	ANN-24	[3-14-1]	7.97	7.62	8.23	8.14	7.99
10	ANN-10	[3-9-1]	7.95	7.55	8.29	8.10	7.97
11	ANN-8	[3-9-1]	7.76	7.33	8.13	7.92	7.78
12	ANN-11	[3-9-1]	7.74	7.32	8.11	7.90	7.77
13	ANN-6	[3-12-1]	7.49	7.09	7.87	7.60	7.51
14	ANN-21	[3-6-1]	7.33	6.96	7.71	7.42	7.36
15	ANN-37	[3-9-1]	7.22	7.44	7.12	7.04	7.21
16	ANN-19	[3-27-1]	6.89	6.86	6.68	7.16	6.90
17	ANN-39	[5-6-1]	6.86	7.22	6.75	6.50	6.83
18	ANN-34	[3-8-1]	6.84	7.24	6.75	6.43	6.82
19	ANN-33	[3-8-1]	6.46	7.19	6.05	5.95	6.41
20	ANN-38	[4-8-1]	6.06	6.82	5.55	5.61	6.01
21	ANN-15	[1-34-1]	5.95	5.53	6.47	5.95	5.97
22	ANN-32	[3-8-1]	5.98	6.58	5.24	5.97	5.94
23	ANN-36	[3-7-1]	5.96	6.54	5.76	5.44	5.93
24	ANN-14	[1-33-1]	5.87	5.52	6.31	5.87	5.89
25	ANN-28	[1-14-1]	5.88	6.06	6.08	5.45	5.87
26	ANN-1	[1-32-1]	5.69	5.23	6.25	5.70	5.72
27	ANN-2	[1-3-1]	5.62	5.18	6.18	5.61	5.65
28	ANN-3	[1-13-1]	5.56	5.10	6.13	5.56	5.59
29	ANN-26	[5-5-1]	5.56	5.95	4.56	6.06	5.53
30	ANN-16	[1-16-1]	5.42	5.02	5.97	5.36	5.44
31	ANN-35	[3-11-1]	5.49	6.44	5.02	4.79	5.43
32	ANN-5	[2-28-1]	5.06	4.47	5.71	5.15	5.10
33	ANN-18	[2-34-1]	4.98	4.47	5.61	4.98	5.01
34	ANN-31	[2-9-1]	4.67	5.37	4.47	4.00	4.63
35	ANN-30	[1-8-1]	4.42	4.57	4.86	3.79	4.41
36	ANN-27	[1-10-1]	4.20	4.74	3.83	3.89	4.16
37	ANN-17	[1-25-1]	3.51	2.90	4.31	3.46	3.54
38	ANN-4	[1-26-1]	3.47	2.81	4.30	3.47	3.51
39	ANN-29	[1-4-1]	3.30	3.23	3.96	2.73	3.31

^aNeural network models that represent the new gas geothermometer equations proposed in this work

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