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config_meta_data.py
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import torch.nn.functional as F
import torch
import numpy as np
import json
import copy
from vonk3d import *
def user_input_to_meta_data(ax_m, ay_m, az_m, mu, std, pressure, temp, dip, inj_loc, inj_rate, PERF_DICT):
n_well = len(inj_rate)
WELL_LIST = [f'WELL{i_well+1}' for i_well in range(n_well)]
coord_well = []
for well in WELL_LIST:
coord_well.append([int(inj_loc[well][0]//1600-2), int(inj_loc[well][1]//1600)])
kmap3d = vonk3d(rseed=0,
dx=1,dy=1,dz=1,
ax=ax_m/400,ay=ay_m/400,az=az_m/2,
ix=400,iy=400,iz=50,
pop=1,med=3,nu=1)
kmap3d = kmap3d*std + mu
kmap3d = np.exp(kmap3d)
PERM_DICT = return_PERM_DICT(kmap3d, coord_well)
GRID_IDX_DICT = grid_idx_dict(coord_well)
GRID_CENTER_DICT = grid_dict(WELL_LIST, GRID_IDX_DICT)
LGR_LIST = list(GRID_IDX_DICT['WELL1'].keys())
PCOLOR_GRID_DICT = pcolor_grid_dict(WELL_LIST, GRID_IDX_DICT)
INJ_LOCATION_DICT = inj_location_dict(PCOLOR_GRID_DICT, WELL_LIST)
INPUT_DICT = input_dict(pressure, temp, inj_rate)
TOPS_DICT = return_tops_dict(pressure, dip, GRID_CENTER_DICT, WELL_LIST, LGR_LIST)
meta_data = {
'GRID_IDX_DICT':GRID_IDX_DICT,
'GRID_CENTER_DICT':GRID_CENTER_DICT,
'PCOLOR_GRID_DICT':PCOLOR_GRID_DICT,
'LGR_LIST':LGR_LIST,
'WELL_LIST':WELL_LIST,
'PERM_DICT':PERM_DICT,
'INPUT_DICT':INPUT_DICT,
'INJ_LOCATION_DICT': INJ_LOCATION_DICT,
'PERF_DICT':PERF_DICT,
'TOPS_DICT':TOPS_DICT
}
return meta_data
depth_func = lambda a : (a - 1.01325)/9.8*100
pressure_func = lambda a: a/100*9.8 + 1.01325
def return_tops(depth, slope, grid_x, grid_z):
nz = grid_z.shape[-1]
adj = np.tan(np.deg2rad(slope)) * (grid_x - 160000/2)
return adj + depth + grid_z
def return_tops_dict(pressure, dip, GRID_CENTER_DICT, WELL_LIST, LGR_LIST):
TOPS_DICT = {}
TOPS_DICT['GLOBAL'] = return_tops(depth_func(pressure), dip,
GRID_CENTER_DICT['GLOBAL']['grid_x'], GRID_CENTER_DICT['GLOBAL']['grid_z'])[None,...]
for well in WELL_LIST:
d = {}
for lgr in LGR_LIST:
tops = return_tops(depth_func(pressure), dip,
GRID_CENTER_DICT[well][lgr]['grid_x'],
GRID_CENTER_DICT[well][lgr]['grid_z'])[None,...]
d[lgr] = tops
TOPS_DICT[well] = d
return TOPS_DICT
def grid_idx_dict(coord_well):
with open('GRID_IDX_DICT.json') as f:
GRID_IDX_DICT = json.load(f)
n_well = len(coord_well)
for i_well in range(n_well-1):
GRID_IDX_DICT[f'WELL{i_well+2}'] = copy.deepcopy(GRID_IDX_DICT['WELL1'])
for i_well in range(n_well):
well_x_start, well_x_end = coord_well[i_well][0] - 4, coord_well[i_well][0] + 5
well_y_start, well_y_end = coord_well[i_well][1] - 4, coord_well[i_well][1] + 5
GRID_IDX_DICT[f'WELL{i_well+1}']['LGR1']['I1'] = well_x_start
GRID_IDX_DICT[f'WELL{i_well+1}']['LGR1']['I2'] = well_x_end
GRID_IDX_DICT[f'WELL{i_well+1}']['LGR1']['J1'] = well_y_start
GRID_IDX_DICT[f'WELL{i_well+1}']['LGR1']['J2'] = well_y_end
return GRID_IDX_DICT
def torch_regrid(x, size):
return F.interpolate(torch.from_numpy(x)[None, None,...],
size=size, mode='trilinear', align_corners=False)[0,0,...].numpy()
def return_PERM_DICT(kmap, coord_well):
DICT = {}
DICT['GLOBAL'] = torch_regrid(kmap, [100, 100, 5])
for i_well in range(len(coord_well)):
d = {}
I1, I2 = (coord_well[i_well][0] - 5)*4, (coord_well[i_well][0] + 5)*4
J1, J2 = (coord_well[i_well][1] - 5)*4, (coord_well[i_well][1] + 5)*4
k_LGR1 = kmap[I1:I2, J1:J2, :]
d['LGR1'] = torch_regrid(k_LGR1, [40, 40, 25])
I1, I2 = 18, 38
J1, J2 = 10, 30
d['LGR2'] = torch_regrid(k_LGR1[I1:I2, J1:J2, :], [40, 40, 50])
I1, I2 = 10, 30
J1, J2 = 10, 30
d['LGR3'] = torch_regrid(d['LGR2'][I1:I2, J1:J2, :], [40, 40, 50])
I1, I2 = 16, 24
J1, J2 = 16, 24
d['LGR4'] = torch_regrid(d['LGR3'][I1:I2, J1:J2, :], [40, 40, 50])
d['LGR1'] = d['LGR1'][None,...]
d['LGR2'] = d['LGR2'][None,...]
d['LGR3'] = d['LGR3'][None,...]
d['LGR4'] = d['LGR4'][None,...]
DICT[f'WELL{int(i_well+1)}'] = d
DICT['GLOBAL'] = DICT['GLOBAL'][None,...]
return DICT
def inj_location_dict(pcolor_grid_dict, WELL_LIST):
INJ_LOCATION_DICT = {}
for well in WELL_LIST:
well_x = pcolor_grid_dict[well]['LGR4']['grid_x'][20,20,0]
well_y = pcolor_grid_dict[well]['LGR4']['grid_y'][20,20,0]
INJ_LOCATION_DICT[well]=well_x, well_y
return INJ_LOCATION_DICT
def grid_dict(wells, grid_dict):
lgrs = list(grid_dict[wells[0]].keys())
parents = parents = ['GLOBAL'] + lgrs[:-1]
# GLOBAL grid
grid_x = np.linspace(grid_dict['GLOBAL']['DX']/2,
160000 - grid_dict['GLOBAL']['DX']/2,
grid_dict['GLOBAL']['NX'])
grid_y = np.linspace(grid_dict['GLOBAL']['DY']/2,
160000-grid_dict['GLOBAL']['DY']/2,
grid_dict['GLOBAL']['NY'])
grid_z = np.linspace(grid_dict['GLOBAL']['DZ']/2,
100-grid_dict['GLOBAL']['DZ']/2,
grid_dict['GLOBAL']['NZ'])
grid_x, grid_y, grid_z = np.meshgrid(grid_x, grid_y, grid_z,indexing='ij')
GRID = {}
GRID['GLOBAL'] = {'grid_x': grid_x, 'grid_y': grid_y, 'grid_z': grid_z }
######################### grid for LGR1 #########################
for well in wells:
lgr = 'LGR1'
parent = 'GLOBAL'
x_start = GRID[parent]['grid_x'][grid_dict[well][lgr]['I1']-1,0,0] - grid_dict[parent]['DX']/2
x_end = GRID[parent]['grid_x'][grid_dict[well][lgr]['I2']-1,0,0] + grid_dict[parent]['DX']/2
grid_x = np.linspace(x_start+grid_dict[well][lgr]['DX']/2,
x_end-grid_dict[well][lgr]['DX']/2,
grid_dict[well][lgr]['NX'])
y_start = GRID[parent]['grid_y'][0,grid_dict[well][lgr]['J1']-1,0] - grid_dict[parent]['DY']/2
y_end = GRID[parent]['grid_y'][0,grid_dict[well][lgr]['J2']-1,0] + grid_dict[parent]['DY']/2
grid_y = np.linspace(y_start+grid_dict[well][lgr]['DY']/2,
y_end-grid_dict[well][lgr]['DY']/2,
grid_dict[well][lgr]['NY'])
z_start = GRID[parent]['grid_z'][0,0,grid_dict[well][lgr]['K1']-1] - grid_dict[parent]['DZ']/2
z_end = GRID[parent]['grid_z'][0,0,grid_dict[well][lgr]['K2']-1] + grid_dict[parent]['DZ']/2
grid_z = np.linspace(z_start+grid_dict[well][lgr]['DZ']/2,
z_end-grid_dict[well][lgr]['DZ']/2,
grid_dict[well][lgr]['NZ'])
grid_x, grid_y, grid_z = np.meshgrid(grid_x, grid_y, grid_z,indexing='ij')
GRID[well] = {lgr: {'grid_x': grid_x, 'grid_y': grid_y, 'grid_z': grid_z }}
######################### grid for LGR2 and up #########################
lgrs = lgrs[1:]
parents = parents[1:]
for well in wells:
for i in range(len(lgrs)):
lgr = lgrs[i]
parent = parents[i]
x_start = GRID[well][parent]['grid_x'][grid_dict[well][lgr]['I1']-1,0,0] - grid_dict[well][parent]['DX']/2
x_end = GRID[well][parent]['grid_x'][grid_dict[well][lgr]['I2']-1,0,0] + grid_dict[well][parent]['DX']/2
grid_x = np.linspace(x_start+grid_dict[well][lgr]['DX']/2,
x_end-grid_dict[well][lgr]['DX']/2,
grid_dict[well][lgr]['NX'])
y_start = GRID[well][parent]['grid_y'][0,grid_dict[well][lgr]['J1']-1,0] - grid_dict[well][parent]['DY']/2
y_end = GRID[well][parent]['grid_y'][0,grid_dict[well][lgr]['J2']-1,0] + grid_dict[well][parent]['DY']/2
grid_y = np.linspace(y_start+grid_dict[well][lgr]['DY']/2,
y_end-grid_dict[well][lgr]['DY']/2,
grid_dict[well][lgr]['NY'])
z_start = GRID[well][parent]['grid_z'][0,0,grid_dict[well][lgr]['K1']-1] - grid_dict[well][parent]['DZ']/2
z_end = GRID[well][parent]['grid_z'][0,0,grid_dict[well][lgr]['K2']-1] + grid_dict[well][parent]['DZ']/2
grid_z = np.linspace(z_start+grid_dict[well][lgr]['DZ']/2,
z_end-grid_dict[well][lgr]['DZ']/2,
grid_dict[well][lgr]['NZ'])
grid_x, grid_y, grid_z = np.meshgrid(grid_x, grid_y, grid_z,indexing='ij')
GRID[well][lgr] = {'grid_x': grid_x, 'grid_y': grid_y, 'grid_z': grid_z }
return GRID
def pcolor_grid_dict(wells, grid_dict):
lgrs = list(grid_dict[wells[0]].keys())
parents = parents = ['GLOBAL'] + lgrs[:-1]
# GLOBAL grid
grid_x = np.linspace(0, 160000, grid_dict['GLOBAL']['NX']+1)
grid_y = np.linspace(0, 160000, grid_dict['GLOBAL']['NY']+1)
grid_z = np.linspace(0, 100, grid_dict['GLOBAL']['NZ']+1)
grid_x, grid_y, grid_z = np.meshgrid(grid_x, grid_y, grid_z,indexing='ij')
GRID = {}
GRID['GLOBAL'] = {'grid_x': grid_x, 'grid_y': grid_y, 'grid_z': grid_z }
######################### grid for LGR1 #########################
for well in wells:
lgr = 'LGR1'
parent = 'GLOBAL'
x_start = GRID[parent]['grid_x'][grid_dict[well][lgr]['I1']-1,0,0]
x_end = GRID[parent]['grid_x'][grid_dict[well][lgr]['I2'],0,0]
grid_x = np.linspace(x_start, x_end, grid_dict[well][lgr]['NX']+1)
y_start = GRID[parent]['grid_y'][0,grid_dict[well][lgr]['J1']-1,0]
y_end = GRID[parent]['grid_y'][0,grid_dict[well][lgr]['J2'],0]
grid_y = np.linspace(y_start, y_end, grid_dict[well][lgr]['NY']+1)
z_start = GRID[parent]['grid_z'][0,0,grid_dict[well][lgr]['K1']-1]
z_end = GRID[parent]['grid_z'][0,0,grid_dict[well][lgr]['K2']]
grid_z = np.linspace(z_start, z_end, grid_dict[well][lgr]['NZ']+1)
grid_x, grid_y, grid_z = np.meshgrid(grid_x, grid_y, grid_z,indexing='ij')
GRID[well] = {lgr: {'grid_x': grid_x, 'grid_y': grid_y, 'grid_z': grid_z }}
######################### grid for LGR2 and up #########################
lgrs = lgrs[1:]
parents = parents[1:]
for well in wells:
for i in range(len(lgrs)):
lgr = lgrs[i]
parent = parents[i]
x_start = GRID[well][parent]['grid_x'][grid_dict[well][lgr]['I1']-1,0,0]
x_end = GRID[well][parent]['grid_x'][grid_dict[well][lgr]['I2'],0,0]
grid_x = np.linspace(x_start, x_end, grid_dict[well][lgr]['NX']+1)
y_start = GRID[well][parent]['grid_y'][0,grid_dict[well][lgr]['J1']-1,0]
y_end = GRID[well][parent]['grid_y'][0,grid_dict[well][lgr]['J2'],0]
grid_y = np.linspace(y_start, y_end, grid_dict[well][lgr]['NY']+1)
z_start = GRID[well][parent]['grid_z'][0,0,grid_dict[well][lgr]['K1']-1]
z_end = GRID[well][parent]['grid_z'][0,0,grid_dict[well][lgr]['K2']]
grid_z = np.linspace(z_start, z_end, grid_dict[well][lgr]['NZ']+1)
grid_x, grid_y, grid_z = np.meshgrid(grid_x, grid_y, grid_z,indexing='ij')
GRID[well][lgr] = {'grid_x': grid_x, 'grid_y': grid_y, 'grid_z': grid_z }
return GRID
def input_dict(p, temp, inj_rate_dict):
INPUT_PARAM = {'temp': temp,
'p': p,
'inj': inj_rate_dict}
return INPUT_PARAM