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Results
An Integrated Downhole Logging Suite Including Spectral Noise Logging to Improve Reservoir Characterization
Gibrata, Muhammad A (Dragon Oil Limited) | Berdiyev, Yunus (Dragon Oil Limited) | Hashem, Mohamed (Dragon Oil Limited) | Ghedan, Shawket (Dragon Oil Limited) | Aslanyan, Arthur (Nafta college) | Aslanyan, Irina (TGT Oil & Gas Services) | Minakhmetova, Roza (TGT Oil & Gas Services) | Skutin, Vasiliy (TGT Oil & Gas Services) | Barghouti, Jamal (TGT Oil & Gas Services)
Abstract The location of producing intervals in multi-layer reservoirs and the determination of current formation pressures in these intervals are critical aspects of reservoir management. The identified not-producing layers in multi-layer wells can be activated to start contributing to the field production. Another challenge that grows over the time during the development of a mature multi-layer reservoir is excessive water production that can be caused either due to water breakthrough over some target layers (the edge water or water from nearby injectors) or can come along the channels in cement from a water-bearing reservoir, located above or below the target reservoir. This effect impacts the vertical sweep efficiency in the field and leads to early abandonment of the wells. The common solution to avoid it is to find the source of water and perform water shut-offs based on the pre-monitoring results. A specific technology has been worked out to detect fluid flows that happen both in well and reservoir. It is based on the analysis of data acquired by broadband high-definition spectral acoustic logging tool. The acoustic signal component produced by fluid flow through the rock matrix can be distinguished from other acoustic signals caused, for example, by wellbore or channel flows by its frequency features. The layer formation pressure was determined by numeric simulation using an empirical correlation between the reservoir fluid flow velocity, pressure gradient and the reservoir-related component of acoustic power. The interpretation results were used also to track, distinguish, and quantify flows behind pipe both in reservoir and through channels in cement. Multiphase sensors were used to determine phase composition inside the wellbore. This helped to identify the source of water in well production. Three tasks mentioned above - (1) location of producing layers, (2) determination of layer formation pressure, and (3) identification of water source in the well production - described in the paper was part of the field-monitoring programme carried out to optimize well production such as gas and water shutoffs, recompletion, switching from natural to artificial lift production, and others. The target is a sandstone oil reservoir consisting of many layers with variation of reservoir rock types, permeabilities, thicknesses and formation pressures in Cheleken Block, Turkmenistan. This paper presents survey results from a number of production wells being a part of 20-well logging campaign. Producing layers were identified in surveyed wells, with some of them equipped with sand screens, which made it difficult to identify producing intervals using conventional production logging tools. These results have been correlated with permeability model. The acquired spectral acoustic data showed that not all layers of the target multi-layer reservoir were producing. Additionally, the calculated layer formation pressure values were analysed and it was discovered that in the two wells producing from the same layers the top layer had a higher formation pressure than the others. The layer formation pressure values calculated using numeric simulations proved to be in a good agreement with the formation pressure measurement data, acquired in nearby infill wells. Regarding the water source, a case with successful remeadial job have been described. This paper demonstrates how the integrated logging suite complemented by acoustic and temperature logging tools can prove effective in identifying a water source in the complicated cases such as dual-completion wells producing from a multi-layer reservoir. The acquired information was used to increase the chances for successful remedial operations. Workovers performed based on survey results allowed eliminating water production in both wells. The evaluation methodology is cost effective because it does not require wells to be shut in and it can be applied riglessly. The acquired data and integrated evaluation logs can help the reservoir development team to optimize well performance and improve reservoir management in the field.
- Asia > Middle East > UAE (0.28)
- Asia > Middle East > Kuwait (0.28)
- Asia > Middle East > Kuwait > Jahra Governorate > Arabian Basin > Widyan Basin > Raudhatain Field > Upper Burgan Formation (0.99)
- Asia > Middle East > Kuwait > Jahra Governorate > Arabian Basin > Widyan Basin > Raudhatain Field > Mauddud Formation (0.99)
- Asia > Middle East > Kuwait > Jahra Governorate > Arabian Basin > Widyan Basin > Raudhatain Field > Lower Burgan Formation (0.99)
- (9 more...)
Identification of Thief Zones and Water Allocation in Dual Water Injectors with Temperature & Spectral Noise Logging
Sarsekov, Arlen (ADMA-OPCO) | Al-Neaimi, Ahmed Khalifa (ADMA-OPCO) | Zhao, Wenyang (ADMA-OPCO) | Saber, Mohamed (ADMA-OPCO) | Tauk, Raj (TGT Oilfield Services) | Volkov, Maxim (TGT Oilfield Services) | Makhiyanov, Ruslan (TGT Oilfield Services) | Barghouti, Jamal (TGT Oilfield Services) | Vishnu, Raveen (TGT Oilfield Services)
Abstract The problem of evaluating injection profile in Short Strings (SS) in a dual completion wells has been solved. The HPT/SNL combination to describe accurately and economically the injection profile within the borehole and behind pipe through long string will be demonstrated. It is difficult and cost prohibitive to monitor injection in a dual completion. Because of this, injection with such completions often goes unchecked for years, wasting water, making wrong assumptions in reservoir performance and missing opportunities for effective water-flood management. Conventional production logging cannot be performed in Short String due to accessibility and are unable to determine the injection profile, therefore, advance tools are required. The objective of this study is to demonstrate how the HPT-SNL logs, run riglessly in the Long String(LS) only, track flow geometry and assess completion integrity. The well WI-01 was re-completed as a dual water injector in Unit C and Unit D in SS and Unit F in LS in 2005. Due to several unresolved issues with well performance, it was decided to confirm injection distribution, determine any communication between the strings and check for cross-flows behind pipe. HPT/SNL in combination with standard production logging tool was run to meet the objectives reliably at minimal cost. Three logging runs were made in the Long String: First, with both strings shut-in, second with injection into SS and third, both string shut-in to measure transient responses. The integrated response of High Precision Temperature (HPT) and Spectral Noise Logging (SNL) indicated Unit C and Unit D were active as expected. Additionally, HPT-SNL combination identified a thief Zone (Unit B) in a non-perforated interval contributing to injection. Injected water was observed flowing upward behind pipe between Unit C and Unit B even when the well was under shut-in condition, indicating cement failure. The survey revealed no communication between the two strings, whereas minor injection was evident below the surveyed interval. The results from this survey will lead to injection optimization in both strings to increase ultimate recovery.
- Well Completion > Completion Installation and Operations (1.00)
- Reservoir Description and Dynamics > Improved and Enhanced Recovery > Waterflooding (1.00)
- Production and Well Operations > Well & Reservoir Surveillance and Monitoring > Production logging (1.00)
Complementing Production Logging with Spectral Noise Analysis to Improve Reservoir Characterisation and Surveillance
Suarez, Nelson (Dubai Petroleum Establishment) | Otubaga, Ademola (Dubai Petroleum Establishment) | Mehrotra, Nagendra (Dubai Petroleum Establishment) | Aslanyan, Arthur (TGT Oil and Gas Services) | Aslanyan, Irina (TGT Oil and Gas Services) | Khabibullin, Murat (TGT Oil and Gas Services) | Wilson, Michael (TGT Oil and Gas Services) | Barghouti, Jamal (TGT Oil and Gas Services) | Maslennikova, Yulia (TGT Oil and Gas Services)
Abstract Spectral Noise Logging (SNL) can provide information on reservoir flow units behind one or multiple barriers, which is beyond the spinner capability. The SNL tool is designed to record a high-resolution noise pattern in a wide frequency range, normally generated by fluid or gas flowing through porous media and the wellbore. Noise pattern recognition is critical to differentiate between formation flow and wellbore flow. SNL complements conventional production logging techniques by providing significant information that enhances reservoir flow characterisation. The tool design, data acquisition and advanced processing allow the location of active flow units and differentiation between flows through the reservoir matrix, fractures, high-permeability features, behind-casing channels and wellbore completion components. Thorough analysis of active flow streaks helps to monitor sweep efficiency and identify bypassed oil regions. Reservoir matrix flow noise remarkably correlates with porosity distribution. Therefore, it is an effective way to verify porosity and permeability models. This paper presents five field cases of SNL surveys performed during 2009–2011 in wells operated by Dubai Petroleum Establishment. These cases illustrate the allocation of injection by zone with rates below the spinner threshold, evaluation of the reliability of plugged perforations, and description of the behind pipe flow geometry. The paper also contains an introduction to SNL tool operation and noise data processing principles.
- North America > United States (1.00)
- Asia > Middle East > UAE > Dubai Emirate > Dubai (0.27)
- Asia > Middle East > Qatar > Arabian Gulf > Arabian Basin > Arabian Gulf Basin > Block 6 > Al Khalij Field > Mishrif Formation (0.99)
- Asia > Middle East > Qatar > Arabian Gulf > Arabian Basin > Arabian Gulf Basin > Block 6 > Al Khalij Field > Laffan Formation (0.99)