Kuwait's resources and reserves to date are characterized by giant, large, massive oil and gas fields located in onshore and offshore areas of Kuwait. These fields are under different stages of development like natural depletion, pressure maintenance and enhance oil recovery (EOR) processes. Over the years, huge amount of resources and reserves data has been accumulated from these fields. This has made Kuwait Oil Company (KOC) to re-evaluate its approaches towards management of these huge volumes of data efficiently. With passage of time, it has become more challenging to manage these reserves and resources volumes and promotions to meet company's growth strategies.Historically, KOC was managing its resources and reserves through a manual Reserves Management System (RMS) spreadsheets for tracking, archiving, monitoring, reporting and managing the resources and reserves.With time, RMS has become a very complex and involved process and it was felt necessary to introduce a new process and tool to manage the overall RMS workflow efficiently to meet company's business needs. Accordingly, KOC decided to introduce a systematic workflow tool to streamline the process of managing hydrocarbon resources and reserves data. The new workflow process consist of a robust multiusers database for archiving, managing and reporting which can be accessed by different teams at different security levels. This enhanced system enabled KOC's management and reserves evaluators to optimize the company's resources and identifying possible opportunities to meets its strategic goals.

A nationwide EOR screening was conducted on major oil fields in Kuwait with the aim to support KOC's long-term production strategy. Taking the many fields, and multitude of reservoirs into account, an efficient screening methodology was applied to high-grade potential EOR targets to focus on the most promising target formations.This EOR screening methodology is an integrated approach of three steps. The first step applied parametric screening criteria of the various EOR technologies to the target formations of the study. The second step utilized analytical forecast models estimate tertiary recovery factors. The third and final step of this EOR screening methodology focused on generating a technical risk and opportunity profile for each filed, formation and applicable EOR technology.This EOR screening methodology consisted of three steps. The first step applied parametric screening criteria of the various EOR technologies to the target formations of the study. The EOR processes in this parametric screening exercise included miscible gas EOR (such a CO 2 and N 2 as an example), chemical EOR technologies as well as thermal recovery technologies. During this first part of the EOR screening, the EOR technology yielding the highest incremental oil recovery in each formation was further studied while using analytical forecast models to link operational recovery drivers, such as throughput volumes and rates, to tertiary recovery factors. The third, and final step of this EOR screening methodology focused on generating a technical risk and opportunity profile for each field and formation under EOR screening while considering aspects such as EOR technology maturity, relative cost comparison and infrastructure constraints, to name a few. Integrating these three screening steps enabled to first, quickly focus on applicable EOR technologies for each target, second quantify a range of tertiary recovery factors and third estimate the risk profile. Combining these three outcomes enable to screen a portfolio of potential EOR opportunities quickly to find the most attractive target for further studies.The novelty is the integrated EOR screening approach of combining parametric screening, analytical tertiary recovery forecasts and risk profiles to high-grade a portfolio of potential EOR targets for decision making.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe Najmah-Sargelu reservoirs are fractured carbonates and have been penetrated by several vertical wells. Productivity from these wells depends on chance intersection with vertical fracture clusters and as a result has varied from zero to quite productive wells. The chances of intersecting major fracture clusters will be improved if high angle wells are used. This paper investigates and compares the expected performance of vertical and high angle wells based on assumptions about the density of major vertical fracture clusters also, the azimuth, length, width, and rock matrix properties.The analysis tool developed incorporates uncertainty in these parameters using the algorithm below and Monte Carlo Simulation.Define vertical or HAW well locations. Then, for each Monte Carlo trial:The analysis allows the comparison not only of vertical and high angle wells, but also high angle wells with different completion lengths. The method provides a quick and simple method of screening and prioritizing fractured reservoir opportunities for more-detailed analyses.

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe Najmah-Sargelu reservoirs are fractured carbonates and have been penetrated by several vertical wells. Productivity from these wells depends on chance intersection with vertical fracture clusters and as a result has varied from zero to quite productive wells. The chances of intersecting major fracture clusters will be improved if high angle wells are used. This paper investigates and compares the expected performance of vertical and high angle wells based on assumptions about the density of major vertical fracture clusters also, the azimuth, length, width, and rock matrix properties.The analysis tool developed incorporates uncertainty in these parameters using the algorithm below and Monte Carlo Simulation.Define vertical or HAW well locations. Then, for each Monte Carlo trial:The analysis allows the comparison not only of vertical and high angle wells, but also high angle wells with different completion lengths. The method provides a quick and simple method of screening and prioritizing fractured reservoir opportunities for more-detailed analyses.