Understanding of fluid movement in and near the wellbore is a crucial factor for effective reservoir management including successful remedial actions and field development planning. One of the key objectives in well surveys is to detect and locate sources of fluid flows behind multiple pipe barriers. The conventional Production Logging Tool (PLT) is run to detect fluid flow and identify the type of fluid under downhole conditions, but is limited to measurements only inside the wellbore. Similarly, other diagnostic techniques, such as cement bond logging, give insight only into the cement integrity and also have limited capabilities to detect cross flows behind casing.Recent developments in temperature and noise logging tools and advanced interpretation techniques have provided higher resolution and sensitivity, enabling the detection of previously undetectable leaks and fluid flow behind casing [1].In the present case, a water zone has been identified in a producing formation with High Precision Temperature (HPT) logging and Spectral Noise Logging (SNL) followed by advanced numerical temperature modelling using the TermoSim software application. SNL identifies flowing zones and differentiates between rock-matrix and fracture flows, and TermoSim then numerically models heat exchange between the wellbore fluid and the surrounding rocks and reservoirs. The resulting model quantifies fluid production from each reservoir unit. Conventional production logging (PLT) locates fluid entry points in the wellbore. The integrated HPT-SNL and PLT logging suite can trace the entire water path from the reservoir into the wellbore. This paper describes water source identification by an HPT-SNL-PLT logging suite deployed in several production wells of a Kuwait oil field. In some of the wells in this field, it has been found that water encroached into the perforations from a watered reservoir below through a channel behind the casing. In other wells, it has been found that cold water breakthrough occurred laterally from nearby water injectors. The exact identification of water sources is a crucial step in any further well remedial work to reduce or eliminate them from oil producing wells. [2]

Field development of mature fields in Kuwait Oil Company have seen a paradigm shift over the past couple of years, to adopt the latest field proven technology to exploit the remaining reserves. The Mauddad formation in the Bahrah field is a low permeability with high viscosity oil which was previously developed with vertical cased and perforated wells with electrical submersible pumps (ESP). Inflow monitoring also posed a challenge to conduct production logs due to challenges with the Y-tool of the ESP. In light of these challenges, it was decided to drill horizontal wells, installed with multi-stage frac completions with acid being the stimulant. The described solution was considered a recent success because of the 300% increased production compared to offset vertical wells over the same producing period. However, ESPs are still required to lift fluids to surface in these horizontal wells and the understanding of inflow performance of each stage remained a monitoring challenge. A solution was identified to utilise intelligent inflow tracers after the successful pilot in another field development in Kuwait, using passive inflow control devices (ICD) with ESPs. Therefore, it was decided to pilot the same technology which provided intervention free, permanent downhole monitoring. However, the additional challenge was to prove that inflow tracers could survive the harsh acid operation and continue to function as a reliable downhole sensor thereafter. The wells installed with intelligent chemical inflow tracers are used to provide a trend assessment of the clean-up phase of production, productivity assessment information for each stage and to event monitoring such as identifying the location of water breakthrough. Fluid samples collected from the surface flow lines were analyzed for unique chemical tracer signatures and interpreted the corresponding tracer signals. The monitoring campaigns have provided an improved understanding of fracture efficiency which has translated to frac design optimsation and also reduced subsurface uncertainty. This paper discusses the chemical sensor design, integration of the sensors, run in hole procedure, sampling, analysis and interpretations of multi-stage acid frac wells, penetrating the Mauddud reservoir. Several wells were installed with chemical sensors adjacent to the sliding sleeves compartmentalized with swell packers in horizontal producing sections of up to 3,000-ft. The post operation interpretation revealed that chemical sensors functioned after the acid jobs and revealed how each stage performed from the frac clean up operation and how productivity changed over the life of the well.

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The Ministry of Oil (MOO) is going with new task to realize the New Kuwait Vision, and so, MOO is on track to shift to a complete digital work environment. Preliminary steps toward the transformation arose with a high concern of connecting with one of the main stakeholders, the Kuwait Oil Company. All in optimism to modernize the data digitally between the Kuwait Oil Company and the Ministry of Oil when it comes to the Technical papers proposal. Based on such, many more motives appeared to modify the work process from manual to digital. Therefore, crucial plans were established based on calculated plans set by managerial personnel to group delegated tasks. As an outcome, the staff with recognizable capabilities dispersed these tasks and executed most using current applications. In the ancient systems, papers that used to take around 21 working days to be reviewed from start to finish, now in a days with the digital system, take around 3 days only, saving a lot of time and resources for each technical paper that is submitted through this new and improved system. Of course, guaranteeing a paperless route brought about many challenges and worries. The most important of them being the reassurance of security measures to protect personnel and the data sharing process. Additionally, the reception of senior workforces to change habits and relearn new procedures of producing daily tasks, as well as, increasing the capability through training courses and supervision. Furthermore, tackling errors exposed within the system through trial and error to boost the experience and optimize workflow.