[PPT] - Ana lisis & Pe mb a ha sa n : (2a ) Po ro sita s Minimum K a ra PowerPoint Presentation

SLIDE 1

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Po ro sitas (Min) L ine a r 0.005989 0.005989 1.405 x 10-5 Sp he ric a l 0.000010 0.006100 1.145 x 10-5 Exp o ne ntia l 0.000420 0.006120 1.153 x 10-5 Ga ussia n 0.000820 0.006110 1.143 x 10-5 (b ) Sa tura si Air (Min) L ine a r 0.001555 0.020769 1.761 x 10-4 Sp he ric a l 0.000010 0.017720 1.161 x 10-4 Exp o ne ntia l 0.000010 0.027220 1.471 x 10-4 Ga ussia n 0.001010 0.018520 9.821 x 10-5 (c ) Po ro sitas x Sa tura si Air (Min) L ine a r

0.000001
3.661 x 10-7

4.091 x 10-5 Sp he ric a l

0.000001
0.001762

3.740 x 10-5 Exp o ne ntia l

0.000001
0.002862

3.757 x 10-5 Ga ussia n

0.000010
0.006040

3.548 x 10-5

0.000E+00 1.880E-03 3.761E-03 5.641E-03 7.521E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Por_Min: Isotropic Variogram Gaussian model (Co = 0.00082; Co + C = 0.00611; Ao = 310.00; r2 = 0.187; RSS = 1.143E-05) 0.0000 0.0052 0.0103 0.0155 0.0206 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Sw _Min: Isotropic Variogram Gaussian model (Co = 0.00101; Co + C = 0.01852; Ao = 3060.00; r2 = 0.852; RSS = 9.821E-05)

3.328E-03
1.746E-03
1.649E-04

1.417E-03 2.998E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Por_Min x Sw _Min: Isotropic Cross Variogram Gaussian model (Co = -0.00001; Co + C = -0.00604; Ao = 13910.00; r2 = 0.209; RSS = 3.548E-05)

Va rio g ra m iso tro pi

(a ) Mo de l Ga ussia n (b ) Mo de l Ga ussia n (c ) Mo de l Ga ussia n

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2a ) Po ro sita s Minimum

Va rio g ra m a niso tro pi

Pr

pe r

ti Re se r voir Mode l Nugge t (C0) Sill (C0+C) RSS

(a ) Po ro sita s (Min) L ine a r 0.005900 0.017644 2.326 x 10-4 Sphe ric a l 0.005900 0.017644 2.326 x 10-4 Expo ne ntial 0.005900 0.017644 2.326 x 10-4 Ga ussia n 0.006000 0.017744 2.325 x 10-4 (b ) Sa tura si Air (Min) L ine a r 0.002400 0.044914 3.964 x 10-3 Sphe ric a l 0.001900 0.043014 3.926 x 10-3 Expo ne ntial 0.000400 0.041514 3.815 x 10-3 Ga ussia n 0.005400 0.046514 4.294 x 10-3 (c ) Po ro sita s x Sa tura si Air (Min) L ine a r

0.000010
0.009820

4.334 x 10-4 Sphe ric a l

0.000010
0.009820

4.352 x 10-4 Expo ne ntial

0.000010
0.009820

4.316 x 10-4 Ga ussia n

0.000100
0.029420

4.198 x 10-4

0.0000 0.0029 0.0058 0.0087 0.0116 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Por_Min: Anisotropic Variogram (0º) Gaussian model (Co = 0.00600; Co + C = 0.01774; AMajor = 751300.00; AMinor = 751300.00; r2 = 0.119; RSS = 2.325E-04) 0.0000 0.0103 0.0205 0.0308 0.0410 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Sw _Min: Anisotropic Variogram (0º) Exponential model (Co = 0.00040; Co + C = 0.04151; AMajor = 13710.00; AMinor = 6810.00; r2 = 0.376; RSS = 3.815E-03)

9.800E-03
5.790E-03
1.779E-03

2.231E-03 6.242E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Por_Min x Sw _Min: Anisotropic Cross Variogram (0º) Gaussian model (Co = -0.00010; Co + C = -0.02942; AMajor = 70790.00; AMinor = 19620.00; r2 = 0.178; RSS = 4.198E-04)

(a ) Mo de l Ga ussia n (b ) Mo de l E kspo ne ntia l (c ) Mo de l Ga ussia n

22

SLIDE 2

We ll Name Koor

d. X

Koor d.Y Data Aktual E stimasi Isotr

pi

E stimasi Anisotr

pi

AU-16 230662.8 9399394 0.078538 0.107 0.060 AUA-5 227441.9 9410011 0.136 0.176 AUB-5 226485.2 9408922 0.246595 0.024 0.047 AUC-5 227984 9408461 0.056055 0.053 0.077 AUD-5 229513.4 9408031 0.071253 0.000 0.006 AUE-5 226521.9 9407448 0.245034 0.073 0.043 AUF

5

228048.5 9406977 0.005828 0.192 0.119 AUG-5 229543.8 9406584 0.117598 0.210 0.198 AUK

3

229107.8 9401041.29 0.0055 0.065 0.065 AZZ-1 226990.1 9411303 0.133 0.233 0.230

0.06

0.02 0.11 0.19 0.28

0.06

0.05 0.17 0.28 Actual Por_Min Estimated Por_Min Regression coefficient = 0.679 (SE = 0.083 , r2 =0.568, y intercept = 0.03, SE Prediction = 0.053, n = 53)

0.07

0.03 0.13 0.23 0.34

0.07

0.06 0.20 0.34 Actual Por_Min Estimated Por_Min Regression coefficient = 0.630 (SE = 0.088 , r2 =0.499, y intercept = 0.04, SE Prediction = 0.057, n = 53)

0,05 0,1 0,15 0,2 0,25 0,3 Data Aktual Estimasi Isotropi Estimasi Anisotrop i

Cro ss-Va rio g ra m Iso tro pi Cro ss-Va rio g ra m Aniso tro pi

R2 =56.8% R2 =49.9%

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2a ) Po ro sita s Minimum

23

SLIDE 3

Va rio g ra m iso tro pi

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Po ro sitas (Me a n) L ine a r 0.000743 0.005036 8.965 x 10-6 Sp he ric a l 0.000720 0.007550 9.148 x 10-6 Exp o ne ntia l 0.000640 0.014890 9.394 x 10-6 Ga ussia n 0.001260 0.006530 7.704 x 10-6 (b ) Sa tura si Air (Me a n) L ine a r 0.006782 0.039250 3.847 x 10-4 Sp he ric a l 0.001900 0.034300 2.454 x 10-4 Exp o ne ntia l 0.001500 0.045400 3.065 x 10-4 Ga ussia n 0.006480 0.035360 2.286 x 10-4 (c ) Po ro sitas x Sa tura si Air (Me a n) L ine a r

0.000010
0.000001

5.056 x 10-4 Sp he ric a l

0.000010
0.009420

5.220 x 10-5 Exp o ne ntia l

0.000010
0.023720

5.341 x 10-5 Ga ussia n

0.000300
0.009500

4.589 x 10-5

0.000E+00 1.726E-03 3.452E-03 5.177E-03 6.903E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00126; Co + C = 0.00653; Ao = 5690.00; r2 = 0.769; RSS = 7.704E-06) 0.0000 0.0104 0.0208 0.0311 0.0415 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00648; Co + C = 0.03536; Ao = 3120.00; r2 = 0.871; RSS = 2.286E-04)

0.0134
0.0100
0.0067
0.0033

0.0000 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Isotropic Cross Variogram Gaussian model (Co = -0.00030; Co + C = -0.00950; Ao = 4050.00; r2 = 0.736; RSS = 4.589E-05)

(a ) Mo d e l Ga ussia n (b ) Mo d e l Ga ussia n (c ) Mo d e l Ga ussia n K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2b ) Po ro sita s Me a n

Va rio g ra m a niso tro pi

Pr

pe r

ti Re se r voir Mode l Nugge t (C0) Sill (C0+C) RSS

Po ro sita s (Me a n) L ine a r 0.000400 0.013983 1.805 x 10-4 Sphe ric a l 0.000300 0.012983 1.816 x 10-4 Expo ne ntial 0.000500 0.016183 1.841 x 10-4 Ga ussia n 0.001200 0.013883 1.805 x 10-4 Sa tura si Air (Me a n) L ine a r 0.008300 0.078779 7.471 x 10-3 Sphe ric a l 0.007700 0.074679 7.418 x 10-3 Expo ne ntial 0.005500 0.072479 7.267 x 10-3 Ga ussia n 0.013300 0.080279 8.169 x 10-3 Po ro sita s x Sa tura si Air (Me a n) L ine a r

0.000100
0.094567

6.742 x 10-4 Sphe ric a l

0.000100
0.065667

6.741 x 10-4 Expo ne ntial

0.000100
0.094467

6.727 x 10-4 Ga ussia n

0.002000
0.217867

7.454 x 10-4

0.0000 0.0031 0.0063 0.0094 0.0126 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Gaussian model (Co = 0.00120; Co + C = 0.01388; AMajor = 9183.00; AMinor = 9183.00; r2 = 0.541; RSS = 1.722E-04) 0.0000 0.0167 0.0334 0.0502 0.0669 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Exponential model (Co = 0.00550; Co + C = 0.07248; AMajor = 14560.00; AMinor = 7000.00; r2 = 0.384; RSS = 7.267E-03)

0.0197
0.0146
0.0095
0.0044

0.0007 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Anisotropic Cross Variogram (0º) Exponential model (Co = -0.00010; Co + C = -0.09447; AMajor = 74020.00; AMinor = 52740.00; r2 = 0.452; RSS = 6.727E-04)

(a ) Mo de l Ga ussia n (b ) Mo de l E xpo ne ntia l (c ) Mo de l E xpo ne ntia l

24

SLIDE 4

We ll Name Koor

d. X

Koor d.Y Data Aktual E stimasi Isotr

pi

E stimasi Anisotr

pi

ZU-16 230662.8 9399394 0.259356 0.270 0.180 ZUA-5 227441.9 9410011 0.288877 0.293 0.297 ZUB-5 226485.2 9408922 0.351903 0.280 0.280 ZUC-5 227984 9408461 0.226796 0.310 0.300 ZUD-5 229513.4 9408031 0.242863 0.246 0.266 ZUE-5 226521.9 9407448 0.314740 0.290 0.284 ZUF

5

228048.5 9406977 0.275069 0.301 0.300 ZUG-5 229543.8 9406584 0.262654 0.339 0.321 ZUK

3

229107.8 9401041.29 0.208200 0.202 0.190 ZZZ-1 226990.1 9411303 0.321367 0.320 0.320

0.14 0.20 0.26 0.32 0.38 0.14 0.22 0.30 0.38 Actual Estimated Regression coefficient = 1.230 (SE = 0.070 , r2 =0.859, y intercept = -0.07, SE Prediction = 0.020, n = 53)

0.14 0.20 0.26 0.32 0.38 0.14 0.22 0.30 0.38 Actual Estimated Regression coefficient = 1.196 (SE = 0.057 , r2 =0.897, y intercept = -0.05, SE Prediction = 0.017, n = 53)

0,05 0,1 0,15 0,2 0,25 0,3 0,35 0,4

Data Aktual Estimasi Isotropi Estimasi Anisotropi

Cross-Variogram Isotropi Cross-Variogram Anisotropi

R2 =89.7% R2 =85.9%

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2b ) Po ro sita s Me a n

25

SLIDE 5

Pr

pe r

ti Re se r voir Mode l Nugge t (C0) Sill (C0+C) RSS

(a ) Po ro sita s (Ma x) L ine a r 0.000461 0.005067 1.087 x 10-5 Sphe ric a l 0.000330 0.005660 1.090 x 10-5 Expo ne ntial 0.000260 0.011880 1.120 x 10-5 Ga ussia n 0.000860 0.005560 9.177 x 10-6 (b ) Sa tura si Air (Ma x) L ine a r 0.049691 0.069128 8.398 x 10-4 Sphe ric a l 0.019900 0.062900 4.859 x 10-4 Expo ne ntial 0.000100 0.063300 4.517 x 10-4 Ga ussia n 0.028500 0.063000 4.780 x 10-4 (c ) Po ro sita s x Sa tura si Air (Ma x) L ine a r

0.000010
0.000001

1.189 x 10-4 Sphe ric a l

0.000010
0.008990

2.898 x 10-5 Expo ne ntial

0.000010
0.014740

3.015 x 10-5 Ga ussia n

0.000010
0.011210

2.158 x 10-5

0.000E+00 1.701E-03 3.403E-03 5.104E-03 6.805E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00086; Co + C = 0.00556; Ao = 4580.00; r2 = 0.764; RSS = 9.177E-06) 0.0000 0.0186 0.0371 0.0557 0.0743 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Exponential model (Co = 0.00010; Co + C = 0.06330; Ao = 460.00; r2 = 0.666; RSS = 4.517E-04)

70.188E-04
50.145E-04
30.103E-04
10.061E-04

99.808E-05 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Isotropic Cross Variogram Gaussian model (Co = -0.00001; Co + C = -0.01121; Ao = 8570.00; r2 = 0.649; RSS = 2.158E-05)

(a) Model Gaussian (b) Model Exponential (c) Model Gaussian

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2c ) Po ro sita s Ma ximum

Va rio g ra m iso tro pi Va rio g ra m a niso tro pi

Pr

pe r

ti Re se r voir Mode l Nugge t (C0) Sill (C0+C) RSS

(a ) Po ro sita s (Ma x) L ine a r 0.000200 0.014450 3.020 x 10-4 Sphe ric a l 0.000200 0.014450 3.019 x 10-4 Expo ne ntial 0.000100 0.013750 3.046 x 10-4 Ga ussia n 0.001000 0.014650 3.023 x 10-4 (b ) Sa tura si Air (Ma x) L ine a r 0.030000 0.192400 0.0409 Sphe ric a l 0.028000 0.190400 0.0420 Expo ne ntial 0.024000 0.186400 0.0423 Ga ussia n 0.048000 0.210400 0.0376 (c ) Po ro sita s x Sa tura si Air (Ma x) L ine a r

0.000100
0.082200

2.930 x 10-3 Sphe ric a l

0.000100
0.053100

2.931 x 10-3 Expo ne ntial

0.000100
0.082100

2.938 x 10-3 Ga ussia n

0.003000
0.260700

3.169 x 10-3

0.0000 0.0034 0.0068 0.0102 0.0136 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Spherical model (Co = 0.00020; Co + C = 0.01445; AMajor = 24370.00; AMinor = 24370.00; r2 = 0.534; RSS = 3.019E-04) 0.000 0.040 0.081 0.121 0.161 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Gaussian model (Co = 0.04800; Co + C = 0.21040; AMajor = 12770.00; AMinor = 12770.00; r2 = 0.173; RSS = 0.0376)

0.0467
0.0339
0.0211
0.0083

0.0046 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Anisotropic Cross Variogram (0º) Linear model (Co = -0.00010; Co + C = -0.08220; AMajor = 74650.00; AMinor = 74650.00; r2 = 0.225; RSS = 2.930E-03)

(a) Model Spherical (b) Model Gaussian (c) Model Linear

26

SLIDE 6

We ll Name Koor

d. X

Koor d.Y Data Aktual E stimasi Isotr

pi

E stimasi Anisotr

pi

ZU-16 230662.8 9399394 0.367488 0.390 0.330 ZUA-5 227441.9 9410011 0.379958 0.340 0.390 ZUB-5 226485.2 9408922 0.403155 0.340 0.380 ZUC-5 227984 9408461 0.364601 0.399 0.409 ZUD-5 229513.4 9408031 0.322108 0.450 0.420 ZUE-5 226521.9 9407448 0.374384 0.348 0.390 ZUF

5

228048.5 9406977 0.427058 0.390 0.400 ZUG-5 229543.8 9406584 0.407871 0.420 0.400 ZUK

3

229107.8 9401041.29 0.388924 0.370 0.305 ZZZ-1 226990.1 9411303 0.417000 0.357 0.380

0.24 0.30 0.35 0.41 0.46 0.24 0.31 0.39 0.46 Actual Estimated Regression coefficient = 1.215 (SE = 0.029 , r2 =0.971, y intercept = -0.08, SE Prediction = 0.009, n = 53)

0.24 0.30 0.35 0.41 0.46 0.24 0.31 0.39 0.46 Actual Estimated Regression coefficient = 1.126 (SE = 0.129 , r2 =0.601, y intercept = -0.05, SE Prediction = 0.034, n = 53)

0,05 0,1 0,15 0,2 0,25 0,3 0,35 0,4 0,45 0,5

Data Aktual Estimasi Isotropi Estimasi Anisotropi

R2 =60.1% R2 =97.1%

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2c ) Po ro sita s Ma ximum

Cro ss-Va rio g ra m Iso tro pi Cro ss-Va rio g ra m Aniso tro pi

27

SLIDE 7

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Po ro sitas (Ma x) L ine a r L ine a r 0.001555 0.020769 Sp he ric a l Sp he ric a l 0.000010 0.017720 Exp o ne ntia l Exp o ne ntia l 0.000010 0.026020 Ga ussia n Ga ussia n 0.001050 0.018600 (b ) Sa tura si Air (Ma x) L ine a r 0.005989 0.005989 1.405 x 10-5 Sp he ric a l 0.000010 0.006100 1.145 x 10-5 Exp o ne ntia l 0.000010 0.006120 1.151 x 10-5 Ga ussia n 0.000010 0.006110 1.143 x 10-5 (c ) Po ro sitas x Sa tura si Air (Ma x) L ine a r

0.000001
3.661 x 10-7

4.091 x 10-5 Sp he ric a l

0.000001
0.001762

3.740 x 10-5 Exp o ne ntia l

0.000001
0.002862

3.757 x 10-5 Ga ussia n

0.000010
0.006040

3.548 x 10-5

0.0000 0.0052 0.0103 0.0155 0.0206 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00105; Co + C = 0.01860; Ao = 3080.00; r2 = 0.852; RSS = 9.825E-05) 0.000E+00 1.880E-03 3.761E-03 5.641E-03 7.521E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00001; Co + C = 0.00611; Ao = 290.00; r2 = 0.187; RSS = 1.143E-05)

3.328E-03
1.746E-03
1.649E-04

1.417E-03 2.998E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Isotropic Cross Variogram Gaussian model (Co = -0.00001; Co + C = -0.00604; Ao = 13910.00; r2 = 0.209; RSS = 3.548E-05)

(a ) Mo de l Ga ussia n (b ) Mo de l Ga ussia n (c ) Mo de l Ga ussia n

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3a ) Sa tura si Air Minimum

Va rio g ra m iso tro pi Va rio g ra m a niso tro pi

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

Po ro sitas (Min) L ine a r 0.002400 0.044914 3.964 x 10-3 Sp he ric a l 0.001900 0.043014 3.926 x 10-3 Exp o ne ntia l 0.000400 0.041514 3.815 x 10-3 Ga ussia n 0.005400 0.046514 4.294 x 10-3 Sa tura si Air (Min) L ine a r 0.005900 0.017644 2.326 x 10-4 Sp he ric a l 0.005900 0.017644 2.326 x 10-4 Exp o ne ntia l 0.005900 0.017644 2.326 x 10-4 Ga ussia n 0.006000 0.017744 2.325 x 10-4 Po ro sitas x Sa tura si Air (Min) L ine a r

0.000010
0.009820

4.334 x 10-4 Sp he ric a l

0.000010
0.009820

4.352 x 10-4 Exp o ne ntia l

0.000010
0.009820

4.316 x 10-4 Ga ussia n

0.000100
0.029420

4.198 x 10-4

0.0000 0.0103 0.0205 0.0308 0.0410 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Exponential model (Co = 0.00040; Co + C = 0.04151; AMajor = 13710.00; AMinor = 6810.00; r2 = 0.376; RSS = 3.815E-03) 0.0000 0.0029 0.0058 0.0087 0.0116 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Gaussian model (Co = 0.00600; Co + C = 0.01774; AMajor = 751300.00; AMinor = 751300.00; r2 = 0.119; RSS = 2.325E-04)

9.800E-03
5.790E-03
1.779E-03

2.231E-03 6.242E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Anisotropic Cross Variogram (0º) Gaussian model (Co = -0.00010; Co + C = -0.02942; AMajor = 70790.00; AMinor = 19620.00; r2 = 0.178; RSS = 4.198E-04)

(a ) Mo de l E xpo ne ntia l (b ) Mo de l Ga ussia n (c ) Mo de l Ga ussia n

28

SLIDE 8

We ll Name Koor

d. X

Koor d.Y Data Aktual E stimasi Isotr

pi

E stimasi Anisotr

pi

ZU-16 230662.8 9399394 0.3818 0.302 0.197 ZUA-5 227441.9 9410011 0.1326 0.191 0.256 ZUB-5 226485.2 9408922 0.263517 0.033 0.102 ZUC-5 227984 9408461 0.1 0.241 0.293 ZUD-5 229513.4 9408031 0.2976 0.029 0.090 ZUE

5

226521.9 9407448 0.1 0.131 0.281 ZUF

5

228048.5 9406977 0.1981 0.000 0.164 ZUG-5 229543.8 9406584 0.247 0.404 0.387 ZUK

3

229107.8 9401041.29 0.1981 0.253 0.084 ZZZ-1 226990.1 9411303 0.2964 0.380 0.441

0.00 0.17 0.35 0.53 0.71 0.00 0.23 0.47 0.71 Actual Estimated Regression coefficient = 1.045 (SE = 0.032 , r2 =0.953, y intercept = -0.01, SE Prediction = 0.026, n = 53)

0.11

0.14 0.39 0.63 0.88

0.11

0.22 0.55 0.88 Actual Estimated Regression coefficient = 0.246 (SE = 0.079 , r2 =0.160, y intercept = 0.14, SE Prediction = 0.110, n = 53)

0,05 0,1 0,15 0,2 0,25 0,3 0,35 0,4 0,45 0,5

Data Aktual Estimasi Isotropi Estimasi Anisotropi

R2 =16.0% R2 =95.3%

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3a ) Sa tura si Air Minimum

Cro ss-Va rio g ra m Iso tro pi Cro ss-Va rio g ra m Aniso tro pi

29

SLIDE 9

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Sa tura si Air (Me a n) L ine a r 0.006782 0.039250 3.847 x 10-4 Sp he ric a l 0.001900 0.034300 2.454 x 10-4 Exp o ne ntia l 0.001800 0.047400 3.067 x 10-4 Ga ussia n 0.006520 0.035540 2.287 x 10-4 (b ) Po ro sitas (Me a n) L ine a r 0.000743 0.005036 8.965 x 10-6 Sp he ric a l 0.000720 0.007550 9.148 x 10-6 Exp o ne ntia l 0.000640 0.014890 9.394 x 10-6 Ga ussia n 0.001260 0.006530 7.704 x 10-6 (c ) Sa tura si Air x Po ro sitas (Me a n) L ine a r

0.000010
0.000001

5.056 x 10-4 Sp he ric a l

0.000010
0.009020

5.236 x 10-5 Exp o ne ntia l

0.000010
0.023720

5.341 x 10-5 Ga ussia n

0.000350
0.009300

4.584 x 10-5

0.0000 0.0104 0.0208 0.0311 0.0415 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00652; Co + C = 0.03554; Ao = 3140.00; r2 = 0.871; RSS = 2.287E-04) 0.000E+00 1.726E-03 3.452E-03 5.177E-03 6.903E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00126; Co + C = 0.00653; Ao = 5690.00; r2 = 0.769; RSS = 7.704E-06)

0.0134
0.0100
0.0067
0.0033

0.0000 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Isotropic Cross Variogram Gaussian model (Co = -0.00035; Co + C = -0.00930; Ao = 3980.00; r2 = 0.736; RSS = 4.584E-05)

(a ) Mo de l Ga ussia n (b ) Mo de l Ga ussia n (c ) Mo de l Ga ussia n

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3b ) Sa tura si Air Me a n

Va rio g ra m iso tro pi Va rio g ra m iso tro pi

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Sa tura si Air (Me a n) L ine a r 0.008300 0.078779 7.471 x 10-3 Sp he ric a l 0.007700 0.074679 7.418 x 10-3 Exp o ne ntia l 0.005500 0.072479 7.267 x 10-3 Ga ussia n 0.013300 0.080279 8.169 x 10-3 (b ) Po ro sitas (Me a n) L ine a r 0.000400 0.013983 1.805 x 10-4 Sp he ric a l 0.000300 0.012983 1.816 x 10-4 Exp o ne ntia l 0.000500 0.016183 1.841 x 10-4 Ga ussia n 0.001200 0.0138883 1.722 x 10-4 (c ) Sa tura si Air x Po ro sitas (Me a n) L ine a r

0.000100
0.094567

6.742 x 10-4 Sp he ric a l

0.000100
0.065967

6.741 x 10-4 Exp o ne ntia l

0.000100
0.094467

6.727 x 10-4 Ga ussia n

0.002000
0.217867

7.454 x 10-4

0.0000 0.0103 0.0205 0.0308 0.0410 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Exponential model (Co = 0.00040; Co + C = 0.04151; AMajor = 13710.00; AMinor = 6810.00; r2 = 0.376; RSS = 3.815E-03) 0.0000 0.0029 0.0058 0.0087 0.0116 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Gaussian model (Co = 0.00600; Co + C = 0.01774; AMajor = 751300.00; AMinor = 751300.00; r2 = 0.119; RSS = 2.325E-04)

9.800E-03
5.790E-03
1.779E-03

2.231E-03 6.242E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Anisotropic Cross Variogram (0º) Gaussian model (Co = -0.00010; Co + C = -0.02942; AMajor = 70790.00; AMinor = 19620.00; r2 = 0.178; RSS = 4.198E-04)

(a ) Mo d e l E xpo ne ntia l (b ) Mo d e l Ga ussia n (c ) Mo d e l E xpo ne ntia l

30

SLIDE 10

We ll Name Koor

d. X

Koor d.Y Data Aktual E stimasi Isotr

pi

E stimasi Anisotr

pi

AU-16 230662.8 9399394 0.584312 0.000 0.473 AUA-5 227441.9 9410011 0.29159 0.000 0.199 AUB-5 226485.2 9408922 0.3669 0.400 0.323 AUC-5 227984 9408461 0.514379 0.100 0.309 AUD-5 229513.4 9408031 0.50847 0.400 0.417 AUE-5 226521.9 9407448 0.490939 0.000 0.334 AUF

5

228048.5 9406977 0.439418 0.300 0.314 AUG-5 229543.8 9406584 0.442798 0.000 0.358 AUK

3

229107.8 9401041.29 0.327507 0.400 0.432 AZZ-1 226990.1 9411303 0.39099 0.400 0.274

17.26
12.19
7.11
2.03

3.04

17.26
10.49
3.73

3.04 Actual Estimated Regression coefficient = 0.009 (SE = 0.008 , r2 =0.026, y intercept = 0.37, SE Prediction = 0.149, n = 53) 0.16 0.31 0.46 0.60 0.75 0.16 0.36 0.55 0.75 Actual Estimated Regression coefficient = 1.187 (SE = 0.044 , r2 =0.934, y intercept = -0.07, SE Prediction = 0.039, n = 53)

0,05 0,1 0,15 0,2 0,25 0,3 0,35 0,4 0,45 0,5 Data Aktual Estimasi Isotropi Estimasi Anisotropi

R2 =96.4% R2 =2.6%

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3b ) Sa tura si Air Me a n

Cro ss-Va rio g ra m Iso tro pi Cro ss-Va rio g ra m Aniso tro pi

31

SLIDE 11

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Sa tura si Air (Me a n) L ine a r 0.049691 0.069128 8.398 x 10-4 Sp he ric a l 0.019900 0.062900 4.859 x 10-4 Exp o ne ntial 0.010800 0.063800 4.292 x 10-4 Ga ussia n 0.028500 0.063000 4.780 x 10-4 (b ) Po ro sitas (Me a n) L ine a r 0.000461 0.005067 1.087 x 10-5 Sp he ric a l 0.000330 0.005660 1.090 x 10-5 Exp o ne ntial 0.000260 0.011880 1.120 x 10-5 Ga ussia n 0.000870 0.005520 9.181 x 10-6 (c ) Sa tura si Air x Po ro sitas (Me a n) L ine a r

0.000010
0.000001

1.189 x 10-4 Sp he ric a l

0.000010
0.008990

2.898 x 10-5 Exp o ne ntial

0.000010
0.014740

3.015 x 10-5 Ga ussia n

0.000010
0.011290

2.158 x 10-5

0.0000 0.0186 0.0371 0.0557 0.0743 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Exponential model (Co = 0.01080; Co + C = 0.06380; Ao = 580.00; r2 = 0.682; RSS = 4.292E-04) 0.000E+00 1.701E-03 3.403E-03 5.104E-03 6.805E-03 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Isotropic Variogram Gaussian model (Co = 0.00087; Co + C = 0.00552; Ao = 4550.00; r2 = 0.764; RSS = 9.181E-06)

70.188E-04
50.145E-04
30.103E-04
10.061E-04

99.808E-05 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Isotropic Cross Variogram Gaussian model (Co = -0.00001; Co + C = -0.01129; Ao = 8610.00; r2 = 0.649; RSS = 2.158E-05)

(a ) Mo de l E xpo ne ntia l (b ) Mo de l Ga ussia n (c ) Mo de l Ga ussia n

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3c ) Sa tura si Air Ma ksimum

Va rio g ra m iso tro pi Va rio g ra m a niso tro pi

Pr

pe r

ti R e se r voir Mode l Nug g e t (C0) Sill (C0+C) R SS

(a ) Sa tura si Air (Me a n) L ine a r 0.030000 0.192400 0.0409 Sp he ric a l 0.028000 0.190400 0.0420 Exp o ne ntia l 0.024000 0.186400 0.0423 Ga ussia n 0.048000 0.210400 0.0376 (b ) Po ro sitas (Me a n) L ine a r 0.000200 0.014450 3.020 x 10-4 Sp he ric a l 0.000200 0.014450 3.019 x 10-4 Exp o ne ntia l 0.000100 0.013750 3.046 x 10-4 Ga ussia n 0.001000 0.014650 3.023 x 10-4 (c ) Sa tura si Air x Po ro sitas (Me a n) L ine a r

0.000100
0.082200

2.930 x 10-3 Sp he ric a l

0.000100
0.053100

2.931 x 10-3 Exp o ne ntia l

0.000100
0.082100

2.938 x 10-3 Ga ussia n

0.003000
0.260700

3.169 x 10-3

0.000 0.040 0.081 0.121 0.161 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Gaussian model (Co = 0.04800; Co + C = 0.21040; AMajor = 12770.00; AMinor = 12770.00; r2 = 0.173; RSS = 0.0376) 0.0000 0.0034 0.0068 0.0102 0.0136 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) Anisotropic Variogram (0º) Spherical model (Co = 0.00020; Co + C = 0.01445; AMajor = 24370.00; AMinor = 24370.00; r2 = 0.534; RSS = 3.019E-04)

0.0467
0.0339
0.0211
0.0083

0.0046 0.00 2255.14 4510.27 6765.41 Semivariance Separation Distance (h) x : Anisotropic Cross Variogram (0º) Linear model (Co = -0.00010; Co + C = -0.08220; AMajor = 74650.00; AMinor = 74650.00; r2 = 0.225; RSS = 2.930E-03)

(a ) Mo d e l Ga ussia n (b ) Mo d e l Sphe ric a l (c ) Mo d e l L ine a r

32

SLIDE 12

We ll Name Koor

d. X

Koor d.Y Data Aktual E stimasi Isotr

pi

E stimasi Anisotr

pi

AU-16 230662.8 9399394 1 0.000 0.830 AUA-5 227441.9 9410011 1 0.000 0.610 AUB-5 226485.2 9408922 0.49608 0.000 0.620 AUC-5 227984 9408461 1 0.000 0.740 AUD-5 229513.4 9408031 1 1.000 0.920 AUE-5 226521.9 9407448 0.8186 1.000 0.640 AUF

5

228048.5 9406977 1 1.000 0.740 AUG-5 229543.8 9406584 0.9137 0.000 0.830 AUK

3

229107.8 9401041.29 0.7271 0.000 0.850 AZZ-1 226990.1 9411303 0.5637 1.000 0.560

8.30
5.74
3.18
0.61

1.95

8.30
4.89
1.47

1.95 Actual Estimated Regression coefficient = -0.004 (SE = 0.024 , r2 =0.000, y intercept = 0.76, SE Prediction = 0.244, n = 53) 0.28 0.46 0.64 0.82 1.00 0.28 0.52 0.76 1.00 Actual Estimated Regression coefficient = 1.170 (SE = 0.247 , r2 =0.306, y intercept = -0.13, SE Prediction = 0.203, n = 53)

0,2 0,4 0,6 0,8 1 1,2 ZU-16 ZUA-5 ZUB-5 ZUC-5 ZUD-5 ZUE-5 ZUF-5 ZUG-5 ZUK-3 ZZZ-1 Data Aktual Estimasi Isotropi Estimasi Anisotropi

R2 =30.6% R2 =0%

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3c ) Sa tura si Air Ma ksimum

Cro ss-Va rio g ra m Iso tro pi Cro ss-Va rio g ra m Aniso tro pi

33

SLIDE 13

No Me to d e Va ria te Co va ria te R2 I so tro p i Aniso tro p i 1 Co krig ing Po ro sita s (minimum) Sa tura si Air (minimum) 56,8% 49,9% 2 Co krig ing Po ro sita s (me a n) Sa tua si Air (me a n) 89,9% 89,7% 3 Co krig ing Po ro sita s (ma ksimum) Sa tura si Air (ma ksimum) 97,1% 60,1% 4 Co krig ing Sa tura si Air (minimum) Po ro sita s (minimum) 96,3% 16% 5 Co krig ing Sa tua si Air (me a n) Po ro sita s (me a n) 2,6% 93,4% 6 Co krig ing Sa tura si Air (ma ksimum) Po ro sita s (ma ksimum) 0% 30,6% 7 Ord ina ry K rig ing T hic kne ss

2,1%

0,6% K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : Pe rb a nd ing a n Va rio g ra m

34

SLIDE 14

T itik X Y E stimasi

POINT

1

229518 9409644.5 29.2 POINT

2

230621 9408394.6 27.7 POINT

3

229797 9407425.6 31.2 POINT

4

229065 9407946.4 32.3 POINT

5

226924 9410311.3 35.1 POINT

6

226863 9409730 31.6 POINT

7

228087 9410700 35.2 POINT

8

227736 9409426.8 32.6 POINT

9

229057 9406553.2 32.6 POINT

10

229457 9405922.7 26.5

0,00 16,00 32,00 48,00 64,00 0,00 21,33 42,67 64,00 Actual Estimated Regression coefficient = 0,679 (SE = 0,363 , r2 =0,054, y intercept = 9,38, SE Prediction = 11,254, n = 63)

39,2 37,5 35,8 34,0 32,3 30,6 28,9 27,2 25,4 23,7 22,0 20,3 18,6 16,8 15,1 13,4

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (a ) T hic kne ss

35

SLIDE 15

T itik X Y E stimasi

POINT

1

229518 9409644.5 0.086 POINT

2

230621 9408394.6 0.131 POINT

3

229797 9407425.6 0.113 POINT

4

229065 9407946.4 0.000 POINT

5

226924 9410311.3 0.210 POINT

6

226863 9409730 0.146 POINT

7

228087 9410700 0.014 POINT

8

227736 9409426.8 0.062 POINT

9

229057 9406553.2 0.258 POINT

10

229457 9405922.7 0.227

0,04

0,04 0,13 0,21 0,29

0,04

0,07 0,18 0,29 Actual Estimated Regression coefficient = 0,861 (SE = 0,111 , r2 =0,497, y intercept = 0,02, SE Prediction = 0,058, n = 63) 0,380 0,349 0,317 0,286 0,255 0,223 0,192 0,161 0,129 0,098 0,067 0,035 0,004

0,027
0,059
0,090

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2a ) Po ro sita s Minimum

36

SLIDE 16

T itik X Y E stimasi

POINT

1

229518 9409644.5 0.270 POINT

2

230621 9408394.6 0.310 POINT

3

229797 9407425.6 0.270 POINT

4

229065 9407946.4 0.250 POINT

5

226924 9410311.3 0.310 POINT

6

226863 9409730 0.295 POINT

7

228087 9410700 0.285 POINT

8

227736 9409426.8 0.279 POINT

9

229057 9406553.2 0.340 POINT

10

229457 9405922.7 0.314

0,14 0,20 0,26 0,32 0,38 0,14 0,22 0,30 0,38 Actual Estimated Regression coefficient = 1,367 (SE = 0,095 , r2 =0,772, y intercept = -0,10, SE Prediction = 0,025, n = 63)

0,350 0,339 0,327 0,316 0,305 0,293 0,282 0,271 0,259 0,248 0,237 0,225 0,214 0,203 0,191 0,180

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2b ) Po ro sita s Me a n

37

SLIDE 17

T itik X Y E stimasi

POINT

1

229518 9409644.5 0.440 POINT

2

230621 9408394.6 0.440 POINT

3

229797 9407425.6 0.410 POINT

4

229065 9407946.4 0.400 POINT

5

226924 9410311.3 0.372 POINT

6

226863 9409730 0.380 POINT

7

228087 9410700 0.380 POINT

8

227736 9409426.8 0.384 POINT

9

229057 9406553.2 0.431 POINT

10

229457 9405922.7 0.413

0,24 0,30 0,35 0,41 0,46 0,24 0,31 0,39 0,46 Actual Estimated Regression coefficient = 1,599 (SE = 0,127 , r2 =0,723, y intercept = -0,24, SE Prediction = 0,027, n = 63) 0,450 0,441 0,431 0,422 0,413 0,403 0,394 0,385 0,375 0,366 0,357 0,347 0,338 0,329 0,319 0,310

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (2c ) Po ro sita s Ma ksimum

38

SLIDE 18

T itik X Y E stimasi

POINT

1

229518 9409644.5 0.193 POINT

2

230621 9408394.6 0.244 POINT

3

229797 9407425.6 0.144 POINT

4

229065 9407946.4 0.074 POINT

5

226924 9410311.3 0.264 POINT

6

226863 9409730 0.179 POINT

7

228087 9410700 0.071 POINT

8

227736 9409426.8 0.072 POINT

9

229057 9406553.2 0.467 POINT

10

229457 9405922.7 0.426

0,09

0,11 0,31 0,51 0,71

0,09

0,18 0,44 0,71 Actual Estimated Regression coefficient = 0,317 (SE = 0,088 , r2 =0,176, y intercept = 0,13, SE Prediction = 0,105, n = 63)

0,620 0,571 0,523 0,474 0,425 0,377 0,328 0,279 0,231 0,182 0,133 0,085 0,036

0,013
0,061
0,110

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3a ) Sa tura si Air Minimum

39

SLIDE 19

T itik X Y E stimasi

POINT

1

229518 9409644.5 0.380 POINT

2

230621 9408394.6 0.428 POINT

3

229797 9407425.6 0.410 POINT

4

229065 9407946.4 0.454 POINT

5

226924 9410311.3 0.269 POINT

6

226863 9409730 0.251 POINT

7

228087 9410700 0.315 POINT

8

227736 9409426.8 0.284 POINT

9

229057 9406553.2 0.497 POINT

10

229457 9405922.7 0.436

0,16 0,31 0,46 0,60 0,75 0,16 0,36 0,55 0,75 Actual Estimated Regression coefficient = 1,278 (SE = 0,062 , r2 =0,875, y intercept = -0,11, SE Prediction = 0,051, n = 63) 0,670 0,640 0,610 0,580 0,550 0,520 0,490 0,460 0,430 0,400 0,370 0,340 0,310 0,280 0,250 0,220

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3b ) Sa tura si Air Me a n

40

SLIDE 20

T itik X Y E stimasi

POINT

1

229518 9409644.5 0.940 POINT

2

230621 9408394.6 1.000 POINT

3

229797 9407425.6 0.980 POINT

4

229065 9407946.4 0.890 POINT

5

226924 9410311.3 0.600 POINT

6

226863 9409730 0.630 POINT

7

228087 9410700 0.690 POINT

8

227736 9409426.8 0.720 POINT

9

229057 9406553.2 0.770 POINT

10

229457 9405922.7 0.830

0,28 0,46 0,64 0,82 1,00 0,28 0,52 0,76 1,00 Actual Estimated Regression coefficient = 1,147 (SE = 0,230 , r2 =0,290, y intercept = -0,11, SE Prediction = 0,200, n = 63)

1,04 1,00 0,97 0,93 0,90 0,86 0,83 0,79 0,76 0,72 0,69 0,65 0,62 0,58 0,55 0,51

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : (3c ) Sa tura si Air Ma ksimum

41

SLIDE 21

T itik E stima si T hic kne ss Po ro sita s Sa tura si Air Minimum Me a n Ma ksimum Minimum Me a n Ma ksimum

POINT

1

29.20 0.086 0.270 0.440 0.193 0.380 0.940

POINT

2

27.20 0.131 0.310 0.440 0.244 0.428 1.000

POINT

3

31.20 0.113 0.270 0.410 0.144 0.410 0.980

POINT

4

32.30 0.000 0.250 0.400 0.074 0.454 0.890

POINT

5

35.10 0.210 0.310 0.342 0.264 0.269 0.600

POINT

6

31.60 0.146 0.295 0.380 0.179 0.251 0.630

POINT

7

35.20 0.014 0.285 0.380 0.071 0.315 0.690

POINT

8

32.60 0.062 0.279 0.384 0.072 0.284 0.720

POINT

9

32.60 0.258 0.340 0.431 0.467 0.497 0.770

POINT

10

26.50 0.227 0.314 0.413 0.426 0.436 0.830

0,000 0,200 0,400 0,600 0,800 1,000 1,200 1 2 3 4 5 6 7 8 9 10 Axis Title

Saturasi Air

Minimum Mean Maksimum 0,000 0,050 0,100 0,150 0,200 0,250 0,300 0,350 0,400 0,450 0,500 1 2 3 4 5 6 7 8 9 10 Axis Title

Porositas

Minimum Mean Maksimum

Batas Atas Batas Bawah Batas Atas Batas Bawah

K a ra kte ristik Da ta Ana lisis Vrio g ra m I nte rp o la si

Ana lisis & Pe mb a ha sa n : Summa ry

42

SLIDE 22

K e simpula n & Sa ra n

SLIDE 23

K e simpula n & Sa ra n

Ke simpula n Sa ra n

1. Zo na -1 me rupa ka n a re a ya ng b a g us da n b e sa r ke mung kina n te rda pa t

a kumula si minya k a ta u g a s (Nila i po ro sita s > 25% de ng a n a ng ka pe rme a b ilita s > 50mD ya ng te rma suk da la m ka te g o ri “istime wa” )

4. E

stima sinila i T hic kne ss me mb e rika n ha sil le b ih b a ik me ng g una ka n o rdina ry kig ing de ng a n va rio g ra m iso tro pi b e rva ria si a nta ra ra ng e 13.4 sa mpa i 39.2 fe e t de ng a n R2 se b e sa r5.4%.

2. E

stima si po ro sita s me mb e rika n ha sil ya ng b a ik untuk I nte rpo la si c o krig ing b a ik pa da da ta po ro sita s minimum, me a n ma upun ma ksimum de ng a n va rio g ra m da n c ro ss-va rio g ra m iso tro pi se rta c o va ria te sa tura si a ir de ng a n R2 ha sil c ro ss-va lida si c ukup ting g i.

3. E

stima si nila i sa tura si a ir me mb e rika n ha sil ya ng b a ik untuk inte rpo la si c o krig ing me ng g una ka n va rio g ra m da n c ro ss-va rio g ra m iso tro pi pa da ka te g o ri da ta sa tura si a ir minimum, da n a niso tro pi pa da da ta sa tura si a ir me a n se rta ma ksimum de ng a n c o va ria te po ro sita s.

43

SLIDE 24

Ke simpula n

44

Sa ra n

K e simpula n & Sa ra n

Da pa t me ng a plisika n

me tode kr ig ing la in

pa da va ria b e l

thic kne ss a ta u me nc a ri va r ia be l ta mba ha n

ya ng da pa t me ndukung thic kne ss se hing g a ha sil a na lisis ma mpu me ning ka tka n nila i ke a kura ta n. Me ng g una ka n a lte rna tive me tode

Co kr iging Baye sian

untuk me ng inte rpo la sika n nila i va r

ia be l pe mr me a bilita s ya ng

te rb a ta s da ta pa da la pa ng a n “Z” Me ng g una ka n mode l

va r iog r a m te or e tis la in

ya ng da pa t me ng g a mb a rka n va ria ns da ta se c a ra spa sia l se a kura t mung kin

SLIDE 25

1

b ib lio g ra phy

Alfia na , A.N. 2010. Me to de Ordinary Kr ig ing pada Ge o statistika [Skr ipsi]. Yo g ya ka rta : F a kulta s Mate ma tika da n Ilmu Pe ng e ta hua n Ala m. Unive rsita s Ne g e ri Yo g ya ka rta Cre ssie , N. A. C. 1993. Statistic s fo r Spatial Data Re vise d E ditio n. Unite d Sta te s o f Ame ric a : Jo hn Wile y & So ns, Inc . Da r wish, K

h. M. dan Ali, M.M. 2010. Mapping S
il Salinity Using Co llo c ate d Co kr

ig ing in Bahar ya Oasis, E g ypt. Ca iro : Na tio na l re se a rc h Ce ntre (NRC) De lfine r, P. C. P. (1999). Ge o sta tistic s Mo de ling Spa tia l Unc e rta inty. Ne w Yo rk: Jo hnWile y a nd So ns, Inc . Dig g le P.J da n Rib e iro P.J. 2007. Mo de l-Base d Ge o statistic s. Ne w Yo rk: Spring e r Dub rule , O. 2003. Ge o statistic s fo r Se ismic Data I nte g ratio n in E ar th Mo de ls. T ulsa : E uro pe am Asso c ia tio n o f Ge o -sc ie ntists a nd Eng ine e rs Isa a ks, H.E. da n Sriva sta va , R.M. 1989. Applie d Ge o statistic s. Ne w Yo rk: Oxfo rd unive rsity Pre ss K e lka r, M. dan Pe re z, G. 2002. Applie d Ge o statistic s fo r Re se rvo ir Charac te r izatio n. USA : So c ie ty o f Pe tro le um Eng ine e rs K urniawan, R.T . 2004. E stimasi Parame te r re se rvo ir Me ng g unakan Me to de Xu-White (Studi Kasus Re se rvo ir Shally Sand) [Skripsi]. Sura b a ya : F a kulta s Ilmu Pe ng e ta hua n Ala m. Institut T e kno lo g i Se puluh No pe mb e r L e ung .Y., Me i, C.L da n Zhang , W.X. 2000a . S tatistic s T e st fo r Spatial No n-statio nary Base d o n the Ge o g raphic ally We ig hte d Re g re ssio n Mo de l, Enviro nme nt a nd Pla nning A, 32 9-32 [PHE ONWJ] Pe rtamina Hulu E ne rg i Offsho re No rth-We st Java . 2010. F inal Re po r t “Z ” GGR Study. Ja ka rta : Pe rta mina Hulu Ene rg i. Putri, D.S. 2013. E stimasi Ko nse ntrasi Nitr

g e n Dio ksida (NO2) dan Karb o n Mo no ksida (CO) di Udara Surab aya

Me ng g unakan I nte rpo lasi Co kr ig ing [T ug as Akhir].Sura ba ya :F a kulta s Ma te ma tika da n I lmu Pe ng e ta hua n Ala m.I nstitutT e kno lo g iSe puluhNo pe mb e r (IT S). Ra fsanjani, M.H. 2012.AnalisisPe nye baranPr

pe rti Re se rvo ir PadaPe tr
physic alMo de lling Di L
kasi ”X” Papua

Barat De ng anMe to de Unive rsal Kr ig ing [T ug as Akhir]. Sura ba ya :F a kulta s Ma te ma tika da n I lmu Pe ng e ta hua n Ala m.InstitutT e kno lo g iSe puluhNo pe mbe r (IT S). Sa mal, A. 2008. Ab o ut krig ing . pinc o c k.c o m/ pe rspe c -tive s/ I ssue 88-Ab o utK rig ing .pdf [6F e b rua ri 2012] Su, P., T ing -Xuan, L ., Yo ng -Do ng , W., Ha i-Ying , Y., Xi, L . 2009. “Spatial I nte r po latio n and S ample S ize Optimizatio n fo r So il Co ppe r (Cu) I nve stig atio n in Cr

pland S
il at Co untry Sc ale Using Co kr

ig ing ”. Ag ric ultur al Sc ie nc e in China , 8: 1369-1377 Sa ha l, Pe pi. (2014 .K

munika si Pe rso na l Pa da Ma g a ng Januari 2014.Ja ka rta :Pe rta mina HuluEne rg i)

Sug ia rto , N. 2008. Da sa r-Da sa r T e knik Re se r vo ir. nanang sug ia rto .wo rdpre ss.c o m/ 2008/ 03/ 25/ da sa r-da sa r- te knik-re se rvo ir-2/ . [ 2 Ma re t 2014] Wa c ke rna g e l, Ha ns. 1995. Multivariate Ge o statistic s, An I ntro duc tio n with Applic atio ns. Be rlin : Spring e r. Yusuf .A da n Ro mli .M. 2012. Batuan I nti Pe nyimpan Minyak dan Gas Bumi. Ja ka rta : L EMI GAS

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SLIDE 27

I nte rpo la si Nila i Pro pe rty Re se rvo ir Di L a pa ng a n “Z Pe ra ira n L a ut Ja wa De ng a n Me to de Ordinary Krig ing da n Co krig ing

Seminar Hasil Tugas Akhir (Rabu, 16 Juli 2014)

Ole h : Nur Anisya h (1310100012) Pe mb imb ing : Pro f. Drs. Nur Iria wa n, MIKo m., Ph.D.