This paper analyses a clear example of how results from Pressure Transient Analysis (PTA) and Rate Transient Analysis (RTA) in heterogenous reservoirs can yield different results, and proposes a methodology that capitalizes on these discrepancies to provide a logical and accurate identification of flow regimes periods, and estimation of key fracture geometry parameters. Due to formation heterogeneity, natural fractures and multi-frac stimulation along the lateral, it was clearly observed that early responses of studied wells were masked by a type of complicated flow which was a by-product of different flow regimes. This was first identified when PTA was completed, necessitating the need for additional tools to be integrated to unlock the mystery of that complicated flow. Next, RTA was analyzed by focusing on the log-log plot of pressure derivative with time. It was noticed that the log-log plot in some instances was able to clarify the uncertainties in early pressure response, and in other instances, it wasn't as clear. In the latter, the normal pressure derivative plot was utilized to identify flow regimes, confirming the feasibility of the adapted integrated workflow. the integration of PTA and RTA in cases where initial fracture signatures are uncertain, provides a practical tool that accurately and precisely estimates fracture geometry parameters that are key in the overall performance evaluation of the well. This paper illustrates the results of adapting this integrated novel workflow on an example from a highly heterogeneous unconventional horizontal well within a sandstone reservoir.
Unconventional hydrocarbon production has been known to revolutionize the oil and gas industry in the last decade. Though the advancement of drilling and well completions associated with tight sands and shale production, the assessment of downhole completion and fracture production remains challenging. The paper illustrates innovative approach to assess the success of multistage fracturing systems, evaluate both hydraulic and swellable packer condition, behind liner flow, and quantitative assessment of stages contribution. The paper will discuss logging techniques using high definition spectral noise logging and numerical temperature modeling to assess flowing fractures, horizontal liner and behind liner well integrity including isolating packers and quantitative estimation of stage production in unconventional horizontal producer. Downhole logging including a set of conventional multiphase sensors alongside with high precision temperature and high definition spectral noise logging was run in one of Saudi Aramco largest unconventional reservoirs to provide complete assessment of the horizontal section integrity and stage contribution. The survey confirmed the success of fracturing process across the horizontal section and application of the new type of the completion. Numerical temperature modeling was used to quantify flow across each production ports and at the top of each stage. The integration of all data set provides complete understating of well completion and production in one run. The quantitative assessment provided by numerical temperature simulation was in good correlation with the bore hole conventional array production logging results. The results of the survey provided detailed assessment of the horizontal lateral production with high resolution across every producing port and provided valuable information about behind liner fracturing efficiency and completion packers’ integrity in one run. Logging tools didn't include mechanical rotating parts, providing high degree of safety and reliability and leaving a very low foot print on the well. Comparison with array production logging run completed separately.
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