Res SU (18)数据分析

1. 动校正后的数据

• data-tm-flt-dec-bal-cdp-nmo.su

suwind < data-tm-flt-dec-bal-cdp-nmo.su key=cdp min=231 max=240 | suxwigb

1.1 根据道头字cdp，提取所有cdp=225所有道数据

suwind < data-tm-flt-dec-bal-cdp-nmo.su key=cdp accept=225 max=0 > output225.su

suxwigb < output225.su

1.2 查看道头字信息

sugethw < output225.su key=tracl,tracr,offset,dt,ns | more

1.3 根据道头字tracl

1.3.1 提取所有tracl=143-149道数据

suwind < output225.su key=tracl  min=143 max=149 > output225_150_pre.su

suxwigb < output225_150_pre.su

1.3.2提取所有tracl=150的一道数据

suwind < output225.su key=tracl min=150 max=150 > output225_150.su

suwind < output225.su key=tracl accept=150 max=0 > output225_150.su

suxwigb < output225_150.su

1.3.3提取所有tracl=151-155道数据

suwind < output225.su key=tracr min=151 max=155 > output225_150_suf.su

suxwigb < output225_150_suf.su

1.2 将tracl=150的一道数据一个值改为0

suzero itmin=1000 itmax=1100 < output225_150.su > output_225_150_suzero.su 

suzeropro itmin=1000 itmax=1100 < output225_150.su > output_225_150_suzero.su 

suxwigb < output_225_150_suzero.su 

1.3 合并三个数据

cat output225_150_pre.su output_225_150_suzero.su output225_150_suf.su > output225_150_suzero_cmp.su

suxwigb < output225_150_suzero_cmp.su

sugethw <output225_150_suzero_cmp.su key=cdp,tracl,tracr,offset,dt,ns | more

1.4 反NMO得到CMP=225道集数据

sunmo < output225.su invert=1 \
cdp=225 \
tnmo=0.0572337,0.314785,0.505564,0.696343,0.939587,1.19237,1.34499,1.67886,1.97933,2.24165,2.56121,2.79014,2.90461 \
vnmo=5220.93,5662.79,6081.4,6779.07,7151.16,7476.74,7918.6,8872.09,9360.46,9848.84,10825.6,11104.7,11383.7 > outdata_225_cmp.su

suxwigb < outdata_225_cmp.su

2. 修改CMP某时刻数据

2.1 将tracl=150的道数据某时刻振幅值改为0

suzero itmin=1000 itmax=1100 < output225.su > output_225_suzero.su 

suxwigb < output_225_suzero.su

suximage < output_225_suzero.su legend=1 d2=tr.d2 d1=tr.d1 title="test_su" cmap=rgb1 &

2.2 反NMO得到CMP=225道集数据

sunmo < output_225_suzero.su invert=1 \
cdp=225 \
tnmo=0.0572337,0.314785,0.505564,0.696343,0.939587,1.19237,1.34499,1.67886,1.97933,2.24165,2.56121,2.79014,2.90461 \
vnmo=5220.93,5662.79,6081.4,6779.07,7151.16,7476.74,7918.6,8872.09,9360.46,9848.84,10825.6,11104.7,11383.7 > outdata_225_cmp.su

suxwigb < outdata_225_cmp.su

suximage < outdata_225_cmp.su legend=1 d2=tr.d2 d1=tr.d1 title="test_su" cmap=rgb1 &

其他时间、速度数据

sunmo < data-tm-flt-dec-bal-cdp-nmo-stack_225.su invert=1 \
cdp=225,230,235,240,245,250 \
tnmo=0.0572337,0.166932,0.329094,0.577107,0.901431,1.23529,1.47854,1.65024,1.73132,1.94118,2.14149,2.23211,2.40382 \
vnmo=5081.4,5290.7,5500,5825.58,6848.84,7453.49,7802.33,8523.26,9011.63,9872.09,11011.6,11314,11430.2 \
tnmo=0.0143084,0.166932,0.27186,0.395866,0.572337,0.806041,1.04452,1.1876,1.52623,1.74563,1.93641,1.99841,2.19396,2.32273,2.35612,2.46582,2.54213,2.58983 \
vnmo=4965.12,5220.93,5476.74,5662.79,5872.09,6267.44,6802.33,7151.16,7569.77,7848.84,8406.98,8523.26,8988.37,9476.74,9965.12,10686,11104.7,11383.7 \
tnmo=0.0524642,0.205087,0.419714,0.682035,0.825119,0.987281,1.20191,1.3593,1.53577,1.62162,1.9221,2.18442,2.28935,2.48013,2.58506 \
vnmo=5244.19,5406.98,5639.53,6220.93,6476.74,6895.35,7500,7941.86,8616.28,8872.09,9313.95,9895.35,10779.1,11244.2,11453.5 \
tnmo=0.0810811,0.286169,0.424483,0.615262,0.944356,1.2496,1.60254,1.90779,2.13196,2.37997 \
vnmo=5476.74,5546.51,5825.58,6383.72,6918.6,8011.63,8802.33,9686.05,10383.7,11360.5 \
tnmo=0.0429253,0.248013,0.434022,0.629571,0.834658,1.11129,1.2973,1.54531,1.71701,1.94118,2.1558,2.41812,2.68998,2.86169,2.98569 \
vnmo=5174.42,5523.26,5988.37,6523.26,7081.4,7662.79,7988.37,8406.98,8686.05,9058.14,9523.26,10220.9,10616.3,10848.8,11407 \
tnmo=0.0572337,0.314785,0.505564,0.696343,0.939587,1.19237,1.34499,1.67886,1.97933,2.24165,2.56121,2.79014,2.90461 \
vnmo=5220.93,5662.79,6081.4,6779.07,7151.16,7476.74,7918.6,8872.09,9360.46,9848.84,10825.6,11104.7,11383.7 > outdata_cmp_225.su

suxwigb < outdata_cmp_225.su