This paper illustrates how minimal integration effort cross-Disciplines can produce more representative models and eliminate incoherent views of completion performance. Single Discipline initial analysis of completion performance, considering only partial data within the Discipline, could still be erroneous even though the analysis may look straightforward and correct when considered standalone. This is illustrated through a few field examples and simulations where single Discipline initial answers were incoherent with additional information provided by other Disciplines. This is not an uncommon situation due to the fundamental non-unicity of data interpretation. To alleviate the latter, additional data within a given Discipline as well as from other Disciplines have to be considered. The resulting integration process illuminates analysis results that are coherent with all available data cross-Disciplines.

Three field examples are presented including results from well test data, tight rock hydraulic fracturing as well as frac-pack data, in addition to data from other Disciplines including logs and cores. They illustrate how integration cross-Disciplines results in a more coherent, hence likely closer to reality picture, which alleviates perplexing initial uncertainties.

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