MRST - Transforming research on reservoir simulation

Contents

Set up grid and rock

mrstModule add diagnostics gridtools mrst-gui
grdecl = fullfile(ROOTDIR, 'examples', 'data', 'SAIGUP', 'SAIGUP.GRDECL');

if ~exist(grdecl, 'file'),
   error('SAIGUP model data is not available.')
end

grdecl = readGRDECL(grdecl);

actnum        = grdecl.ACTNUM;
grdecl.ACTNUM = ones(prod(grdecl.cartDims),1);
G             = processGRDECL(grdecl, 'checkgrid', false);
G             = computeGeometry(G(1));

rock = grdecl2Rock(grdecl, G.cells.indexMap);
is_pos                = rock.perm(:, 3) > 0;
rock.perm(~is_pos, 3) = min(rock.perm(is_pos, 3));
rock.perm = rock.perm.*milli*darcy;

Set up wells

The wells are simply placed by a double for loop over the logical indices. The resulting wells give producers along the edges of the domain and injectors near the center.

pv = poreVolume(G, rock);
ijk = gridLogicalIndices(G);
W = [];
gcz = G.cells.centroids;
[pi,ii] = deal(1);
for i = 5:12:G.cartDims(1)
    for j = 5:25:G.cartDims(2)
        c = ijk{1} == i & ijk{2} == j;
        if any(c)
            c = find(c);
            x = gcz(c(1), 1); y = gcz(c(1), 2);
            if x > 500 && x < 2000 && y < 7000 && y > 1000
                % Set up rate controlled injectors for cells in the middle
                % of the domain
                val = sum(pv)/(1000*day);
                type = 'rate';
                name = ['I' num2str(ii)];
                ii = ii + 1;
            else
                % Set up BHP controlled producers at the boundary of the
                % domain
                val = 250*barsa;
                type = 'bhp';
                name = ['P' num2str(pi)];
                pi = pi + 1;
            end

            W = addWell(W, G, rock, c, 'Type', type, 'Val', val, 'Name', name);
        end
    end
end
% Plot the resulting well setup
clf
plotCellData(G, rock.poro),
plotWell(G, W)
view(-100, 25)

Set up a reservoir state

This is not strictly needed for the diagnostics application, but it allows us to see the reservoir component distribution around producers grouped by time of flight. The distribution of phases is done based on a simple hydrostatic approximation by using cell centroids. Some phase mixing is present.

state = initResSol(G, 200*barsa, [0 0 0]);

gcz = G.cells.centroids(:, 3);
height = max(gcz) - min(gcz);
pos = 1 - (gcz - min(gcz))./height;

oil = pos > 0.4 & pos < 0.8;
gas = pos > 0.7;
wat = pos < 0.45;

state.s(wat, 1) = 1;
state.s(oil, 2) = 1;
state.s(gas, 3) = 1;

state.s = state.s ./ repmat(sum(state.s, 2), 1, 3);

clf;
rgb = @(x) x(:, [2 3 1]);
plotCellData(G, rgb(state.s), 'EdgeColor', 'k', 'EdgeAlpha', 0.1)
view(-100, 25)
axis tight

Run the interactive diagnostics

We print the help page to show functionality and then invoke the interactive diagnostics tool.

help interactiveDiagnostics
clf;
interactiveDiagnostics(G, rock, W, 'state', state);
view(-100, 25)
axis tight