Heterogeneity Index and Fast Screening Processes Used in a Large Mature Field Designed for Quick Production Gains

Abstract

The Heterogeneity Index (HI) process was utilized in order to demonstrate production gain opportunities in a very short period of time, in a large mature ME field with around 500 wells producing from different reservoirs. The HI process provided a quick screening method of identifying preliminary candidate wells with anomalous behavior (over/under performance) for further analysis and most importantly, provided the foundation for the overall Structure Production Approach. This process; HI, can be calculated by utilizing OFM. A Cross Hair Plot has also been utilized to show the comparison of the HI of two variables in the same plot, creating an easy way to identify wells behaving differently from the average. The cross hair plot can be combined with X-Y Coordinated plot which reproduces the location of the wells. The results from this screening tool were utilized to identify the families of productivity problems at field level, and additional fast screening was done at well level to identify candidates for production enhancement. Representative Wells were selected for detailed diagnostics based on the relevance and size of productivity impact and, the potential of its production rate or well deliverability. Once a few "top potential" wells were identified, production engineering workflows were implemented in order to assess and forecast the potential of production incremental and try to determine and evaluate the best probable action. Some of the key innovate workflows used to complement production enhancement were: Time- lapse nodal analysis (honoring production history and neighboring wells), rate transient analysis (to consume sporadic/low frequency production data), single wellbore modeling (based on logs and flow units), among others. This paper will demonstrate the Production Enhancement Technologies Methodology, in particular the HI process with real examples; pending on data release approval from the owner and the progress of the operations.

Application of improved data-driven diagnostics workflow based on coupled hydro-mechanical model for stimulation candidate selection in a complex carbonate reservoir

“…As described in Fig. 2, the heterogeneity index (HI) is a quick screening process to identify the preliminary candidate wells with anomalous behavior by comparing the relative production performance of each individual well to the performance of the field average [28]. The crosshair HI plot provides a view of individual well performances as better or worse than the field average in four quadrants.…”

Application of production data-driven diagnostics workflow for water shut-off candidate selection in tight carbonate field

“…The heterogeneity index (HI) plot provides a quick screening method to identify the preliminary candidate wells with anomalous behavior (over or under performance of the field average) for further analysis. Most importantly, this plot provides the foundation for the overall structure production approach [9]. In this analysis, well performance is compared at the wellbore level.…”