You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: optimizationJohansen.m
    path of file: ./repos/CO2-Sequestration
    
    the code of the file until where you have to start completion: %% Optimal injection points
% In this example we demonstrate how information about structural traps and
% their connections can be used to define a good guess of injector
% placements. That is, we will consider the problem of determining where N
% wells should be placed to optimize the potential for structural trapping.
mrstModule add co2lab;

%% Extract a subset of the Johansen formation for analysis
coarsefactor = 2;
[grdecl, d, petrodata] = getAtlasGrid('johansenfm', 'coarsening', coarsefactor);
pd = petrodata{1};

G
    
function handle to show percent of total trapped volume
perc = @(x) 100*(10^x)/sum(tv);
plotBar(treestart, trapcells, @(x) sprintf('%1.1f%%', perc(x)))

outlineCoarseGrid(G, res.trap_regions, 'facecolor', 'none')
% set(gca,'ZDir','normal');
camlight head
lighting phong
% set(gca,'ZDir','reverse');

axis tight off
view(64, 72)
caxis([min(treestart), max(treestart)]);

%% Alternative visualization
% This is more dull, but has a somewhat higher information content
n = max(res.trap_regions);
c = jet(n); c=c(randperm(n),:);

subplot(1,2,2);
plotted = false(G.cells.num, 1);
for i = 1:numel(trees)
    cells = ismember(res.traps, trees(i).traps);
    plotCellData(G, repmat(v(i), G.cells.num, 1), cells & ~plotted, ...
                 'EdgeColor','none');
    plotted = plotted | cells;
end