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Operators typically update formation fluid saturation from producing wells as production impacts changes in formation fluid type and volume. An operator in India deployed a multi-detector pulsed neutron well logging tool on one of the old wells in a mature field to evaluate saturation profiles across multiple clastic formations. Production from the subject well had ceased due to water loading. The objective of the logging was to identify possible bypassed hydrocarbon zones before the operator decided on the well abandonment. A multi-detector pulsed neutron tool acquired a salinity-independent gas-sensitive time-based measurement from short-spaced and extra-long-spaced gamma-ray detectors. In addition, inelastic energy spectra-based carbon/oxygen (C/O) ratios were recorded to quantify formation oil saturation in a low water salinity environment. Another critical component in the saturation analysis workflow was the forward modeling of tool responses. We used the Monte Carlo N-particle (MCNP) stochastic method to predict gas-sensitive and C/O ratio responses in logging conditions. We had limited information on well conditions, such as cement bond condition and formation fluid properties, as no recent well logging was carried out to evaluate these. Thus, we performed saturation analyses in various conditions to reduce uncertainties in the results, including well-cemented, partially-cemented, and uncemented annulus conditions and different oil and gas densities. The analysis results identified one shallow sand unit containing gas. The sand was initially considered a water-dominant zone because the same zone produced water from adjacent wells. We evaluated the uncertainty in the gas saturation calculation attributed to cement bond quality and formation gas density. This helped to remove uncertainties in cement bond conditions and in-situ gas density on gas saturation. The identified sand unit was perforated and produced a large amount of gas. The accurate result of the gas saturation analysis saved the well from abandonment and increased reserves and production capacity. Additionally, the analysis revealed that water-filled formations were predominant in other sands. The C/O log analysis showed no bypassed oil in the lower sands. This paper further discusses case studies on candidate selection for pulsed neutron well logging, uncertainties in formation parameters, and the implications for saturation results.
Operators typically update formation fluid saturation from producing wells as production impacts changes in formation fluid type and volume. An operator in India deployed a multi-detector pulsed neutron well logging tool on one of the old wells in a mature field to evaluate saturation profiles across multiple clastic formations. Production from the subject well had ceased due to water loading. The objective of the logging was to identify possible bypassed hydrocarbon zones before the operator decided on the well abandonment. A multi-detector pulsed neutron tool acquired a salinity-independent gas-sensitive time-based measurement from short-spaced and extra-long-spaced gamma-ray detectors. In addition, inelastic energy spectra-based carbon/oxygen (C/O) ratios were recorded to quantify formation oil saturation in a low water salinity environment. Another critical component in the saturation analysis workflow was the forward modeling of tool responses. We used the Monte Carlo N-particle (MCNP) stochastic method to predict gas-sensitive and C/O ratio responses in logging conditions. We had limited information on well conditions, such as cement bond condition and formation fluid properties, as no recent well logging was carried out to evaluate these. Thus, we performed saturation analyses in various conditions to reduce uncertainties in the results, including well-cemented, partially-cemented, and uncemented annulus conditions and different oil and gas densities. The analysis results identified one shallow sand unit containing gas. The sand was initially considered a water-dominant zone because the same zone produced water from adjacent wells. We evaluated the uncertainty in the gas saturation calculation attributed to cement bond quality and formation gas density. This helped to remove uncertainties in cement bond conditions and in-situ gas density on gas saturation. The identified sand unit was perforated and produced a large amount of gas. The accurate result of the gas saturation analysis saved the well from abandonment and increased reserves and production capacity. Additionally, the analysis revealed that water-filled formations were predominant in other sands. The C/O log analysis showed no bypassed oil in the lower sands. This paper further discusses case studies on candidate selection for pulsed neutron well logging, uncertainties in formation parameters, and the implications for saturation results.
Understanding the current pressure of unperforated gas reservoirs is critical for field development. Perforation of depleted reservoirs results in low hydrocarbon production, unwanted water production, or no flow. Thus, a through-casing well-based reservoir pressure surveillance is essential before perforating the target zones to assess if pressure depletion occurs due to the production of connected reservoirs from offset wells. Pulsed neutron (PN) logging in wells filled with produced gas can reduce some measurements’ formation sensitivity. For example, ratio-based measurements required for gas saturation and pressure depletion analysis using inelastic gamma-ray count rates can be particularly affected when wellbores are gas-filled. As a solution, a sleeved-PN well logging technique was developed to delineate pressure depletion in cased gas-producing wells. The pulsed neutron source and gamma-ray detectors of the sleeved-PN tool are covered with a layer of hydrogen-rich material, such as fiberglass, thereby improving the measurements’ formation sensitivity compared to ones from a regular PN tool in a gas-filled wellbore. The pressure depletion evaluation workflow includes nuclear measurements from a sleeved-PN tool, the Monte Carlo N-Particle (MCNP) method-based forward modeling of tool responses, and an iterative analysis algorithm. We deployed a sleeved-PN logging tool in a gas condensate-producing well in the North Sea. The well was produced from deeper Triassic sands with a section of Jurassic sand bodies above which are not perforated and of uncertain depletion. During PN logging, the wellbore was filled with gas from the deeper perforated sands. Pressure depletion analysis was performed using three key measurements: inelastic and capture gamma-ray count rate ratios and a macroscopic thermal neutron capture cross-section (formation sigma). Each measurement revealed distinctive characteristics; therefore, comparing these measurements integrated with forward modeling responses allowed for determining reservoir pressure depletion. Accurate MCNP modeling was a crucial factor in the pressure depletion evaluation. Furthermore, the current in-situ gas density estimation was based on a series of MCNP modeling results. An iterative method of comparing measured and modeled data with reference to original water saturation was used to calculate the current gas density. The analysis showed indications of pressure depletion in the lower sand section but not in the upper formation. Ratio-based PN measurements were effective in indicating depletion. Formation sigma was practical to compute the current water saturation as it is relatively insensitive to changes in reservoir pressure and gas density. Evaluating pressure depletion before perforating sands in gas-producing wells, especially when gas is present in the borehole, is challenging. However, advances in PN logging technique and an innovative data analysis method enabled cost-effective monitoring of formation pressure in a cased-hole environment and enhanced confidence in reservoir management decision-making.
The quest for optimal gas detection and quantification in Niger Delta regions for sustainable energy development necessitates advanced technologies. This paper explores a multidetector pulsed neutron well logging technology with improved formation gas sensitivity for precisely characterizing reservoir fluids and estimating gas saturation in a freshwater environment. This innovative method is applicable to tight porosity and low water salinity formations, which are historically challenging conditions for accurate saturation analysis with conventional pulsed neutron logging applications. This technology encompasses (1) a pulsed neutron generator that creates high-energy neutrons that interact with formation nuclei and create induced gamma rays and (2) three gamma-ray detectors and an electronics system that records induced gamma rays based on the gamma-ray energy level and arrival time. In addition, forward modeling of tool responses is a critical component. Monte Carlo N-Particle (MCNP) modeling simulates the three-detector pulsed neutron tool’s gas-sensitive log responses. The predicted MCNP models are incorporated into the saturation analysis workflow to identify and quantify the formation gas saturation considering reservoir fluid properties, lithologies, well completions, and cement densities. A case study demonstrated the use of multidetector pulsed neutron well logging technology for quantitative formation gas evaluations of cased-off reservoirs in the Z-field Niger Delta. This contributes to the use of gas resources for sustainable energy development in Africa.
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