This paper presents a rigorous methodology to identify the remaining reservoir opportunities in order to enhance sweep efficiency and increase hydrocarbon production rate in a mature field under water flooding operations. Development of mature fields implies proper reservoir management practices to determine the amount and location of the remaining oil. It also entails optimal placement of new wells and re-entries to enhance the ultimate recovery. As of today, common approaches to place new wells are usually based on oil column maps derived from saturation and production logs as well as the performance of the neighboring wells in the area of interest. The current work improves on the common practices by combining both static and dynamic variables extracted from the geological and simulation models to estimate the Reservoir Opportunity Index (ROI), which can effectively detect un-swept oil zones not seen by simple methods. The ROI along with other available information in the geological and simulation models such as, production history and well logs are then integrated in one platform to facilitate informed decisions for successful mature field development. The initial formulation of ROI, previously presented by many authors in the industry, is improved to suit reservoir geology and conditions at different time steps, incorporating changes in oil saturation and reservoir pressure effects. The computed ROI is then normalized to allow accurate representation and comparison among various layers and areas. The ultimate benefits of the proposed approach are realized when mapping the ROI for different reservoir layers and advising on the location of new wells and re-entries. Moreover, the applicability and the advantages of this work can be expanded to other areas such as: reservoir description, reservoir characterization, reserves estimation and depletion analysis.

The present work integrates sonic logs, image logs, lab test, leak-off test (LOT), production, and injection data to build the basic geomechanical model in a mature field under peripheral water injection. In the modeling process, in-situ stresses (orientation and magnitude) were obtained and integrated form the available information. Additionally, rock mechanical properties derived from P and S-wave velocities, were calibrated with the static properties derived from lab tests (triaxial test). Statistical analysis of the dynamic rock properties allowed constructing the failure envelopes for reservoir intervals with different strengths using the Mohr-Coulomb failure criteria, giving extra information of the stiffness variation and anisotropy within the same reservoir rock. Moreover, the model was further validated by the stress polygon and the expected faulting regime was constraint, giving an insight of main fractures orientation. A wellbore stability analysis was also done to check on breakouts tendency and best trajectory for new sidetracks and horizontal wells to be drilled. For this particular field, the effects of many years of depletion without pressure support and the subsequent effect of peripheral water injection are better understood under the geomechanical point of view. Changes in the effective stresses during pore pressure drawdown show a stress path that could easily activate natural fractures and might had created bigger fracture channels favoring flow of reservoir fluids to the wellbore after the power water injection was initiated. By the same talking, water injection seemed to enhance the far field stress stability, but it might create tensile fractures at the injector's vicinity. In other words, knowledge of the in-situ stresses and its effects while depleting or increasing the pore pressure is of vital importance in reservoir management. Stability analysis suggests a formation stiff enough that can be drilled to any direction at any inclination angle; a condition that favors well spacing, but it should be handled with care in avoiding fracture corridors. The results of this work suggest that good reservoir management may require the geomechanics component to optimize well performance and reservoir development.