Intelligent artificial lift technology is increasingly being used in Belayim Marine Field to enhance the value of maturing assets and new development wells. Wells equipped with electric submersible pumps (ESPs) are particularly suited to this blend of old and new. For years, the performance of ESPs has been monitored and controlled from the surface to prevent early pump failure by adjusting the frequency of the signal sent to the pump's variable speed drive (VSD) motor controller. This adjustment has also been used to avoid under-loading an ESP and increase production volume. To find this optimal operating range, real-time data and modeling are used to design the pump to fit the specific requirement of each well.Most recently, Belayim Petroleum has taken the concept a step further by deploying intelligent artificial lift in combination with stimulation technology aimed at reservoir management to help restore production from the 113-M-97-H well in Belayim Marine field, which is located in the central part of the Gulf of Suez, along the coast of the Sinai Peninsula. This new development well was drilled horizontally with maximum angle of 88°, and a 211 m. horizontal open-hole section was completed with 3.5-in. excluder screens. The well once achieved 22-hour good recovery at 550 BOPD. Then the production declined and the well was shut in due to low amperage, followed by no recovery caused by severe loss of circulation, which created a filter cake plugging the near wellbore pores. Complex stimulation treatment and flow, and well geometry and completion, as well as the offshore environment have complicated workover operations on this depleted reservoir and unproductive well issues. With intelligent ESP, a cost-effective stimulation was successfully deployed and enabled to evaluate production streaming data, such as pump intake pressure and temperature during the treatment across the horizontal section.Already equipped with in-well electric power cables, protectors, and multi-sensors, as well as a power controller VSD at the surface, this intelligent ESP system also enabled clean-out process at different production rates. Once clean reservoir fluids were observed during the flowing period, the ESP was stopped for a pressure build-up. A post-stimulation well test was performed to evaluate the treatment's effectiveness before running the new completion, hence minimizing intervention time to restore production promptly, reducing rig time, and achieving optimum completion design for long-term productivity of the well.
In mature fields it can often be a challenge to obtain accurate well data and reliable formation parameters without imposing high cost and time constraints on development or production schedules. One common method to test non-naturally flowing wells is impulse testing, which makes use of differential pressures between the formation and a surge chamber or wellbore to perform a short flow period or surge test, followed by a relatively short shut-in period. Unfortunately, these tests frequently result in invalid or uninterpretable data as a result of several uncertainties and test constraints. An improved version of this common technique encompasses a three-fold approach to optimize the impulse test. A new numerical simulator designs the test to maximize depth of investigation without compromising the interpretable data. The coiled tubing-conveyed intelligent bottomhole assembly used to execute the impulse test may, in certain environments, reduce operating times in comparison to use of conventional tubing-conveyed solutions. The combination of the prejob design package and a functional bottomhole assembly enables consideration of the complexities that can result from impulse testing so that a valid data set is delivered. The interpretation is performed using traditional well test interpretation methodology and an analytical solution specifically designed for impulse testing. This solution considers the wellbore fluid density variation during the test while still maintaining the simplicity of the wellbore model; variable skin is described by an exponential function, thus improving on established analytical methods. A comparison of the results from both interpretation methods establishes the test validity in terms of flow capacity and skin. This paper describes the systematic approach, including its design, execution, and interpretation, and highlights advantages and limitations through the case study and field data of a well in the Wadi Rayan field of Qarun Petroleum Company. This technique offers a rigless testing method that can optimize test time while delivering valid, accurate results that aid in production forecasting, completion optimization, and planning of remedial intervention for non-naturally flowing wells.
The need for monitoring individual well production in unconventional fields is rising. The drivers are primarily related to accurate reporting for production allocation between wells. The main driver in North American operations for a meter-per-well flow rate monitoring has been the need for accurate per well production accounting due to the complexity of the land-owner interest. There are additional benefits from the monitoring of early decline and determination of the transient evolution of the reverse productivity index (RPI) to evaluate the well performance. The availability of long-term rate transient data supports decline analysis and rate transient analysis, leading to better understanding of the estimated ultimate recovery (EUR), which may drive the selection of infill drilling locations. Finally, the identification of interference between flowing wells can help mitigate the issues of parent/child wells. A specific case in the Eagle Ford is the systematic deployment of full gamma-spectroscopy multiphase flowmeters at well pads. This intelligent pad architecture consists of one multiphase flowmeter per well and a production manifold that enables commingling of the production to a single flowline connected to the inlet manifold of the production facility. The rationale of the decision for the installation of such solution in lieu of a metering separator per well is based on the evaluation of the impact of this technology on capex and opex reductions. Several lessons learned are provided. They include a discussion of the change management issues related to the installation of the meters, the modifications necessary to the production facility at the receiving side, and the data management and data analytics that were enabled from the gathering of systematic, continuous, and high-resolution measurements. The impact of the installation of the meters in the field is noticeable and quantifiable. with several prior wells used as a benchmark. The effects are not limited to cost reduction, but also lead to an increase in production related to the release of operational crews from daily well testing tasks that used to be necessary. The data quality and coverage are also increased. A few suggestions are made concerning optimization of the deployment and use of remote monitoring options for enhanced efficiency. Automated data workflows are also discussed. The reduction of HSE risks through a better management of field operators is also assessed.
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