Characterization of Gas Wells by Selective Inflow Performance and Production Logging

Mokhtari, Alireza; Gerami, Shahab; Azedi, A.; Lashkari, Mahdi; Hashemi, Abdolnabi; Shahidi, S.; Pourafshari, Peyman

doi:10.3997/2214-4609.201401179

Cited by 2 publications

(1 citation statement)

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“…The IPR depth is taken as IPR zone. All the potential within the same IPR will be shifted by the same amount of ∆PIPR [16].…”

Section: Datum Correctionmentioning

confidence: 99%

Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method

Tarq,

Al-Obaidi

2023

IJCPE

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The downhole flow profiles of the wells with single production tubes and mixed flow from more than one layer can be complicated, making it challenging to obtain the average pressure of each layer independently. Production log data can be used to monitor the impacts of pressure depletion over time and to determine average pressure with the use of Selective Inflow Performance (SIP). The SIP technique provides a method of determining the steady state of inflow relationship for each individual layer. The well flows at different stabilized surface rates, and for each rate, a production log is run throughout the producing interval to record both downhole flow rates and flowing pressure. PVT data can be used to convert measured in-situ rates to surface conditions. Different types of Inflow Performance Relationship (IPR) equations can be used for SIP interpretation, including the Straight-line method, Fetkovitch method, and Laminar Internal Turbulent (LIT) relations. Although the SIP method can be used for single-phase flow, the interpreter can restrict the IPR’s calculations to a particular phase. This research discusses the difficulties in estimating the average reservoir pressure in multilayered reservoir completed wells over their production life. The SIP technique has been applied to some producing wells in the south of Iraq, which are completed in multiple producing reservoirs previously tested with a formation tester to estimate reservoir pressure and other parameters. Two wells are taken in the south of Iraq region, Zubair Oil Field, one with cross flow between perforations and the other well with no cross flow. An average pressure is not calculated for layer A in Well-1, because there is no contribution rate. While the average pressure for Well-1, layer B is 3414.49 psia. Also, the average pressure for Well-2, layer H is not calculated because there is no rate contribution from this layer, and the maximum average pressure was calculated in layer G, which is about 2606.26 psia. It is also found that the presence of cross flow has no effect on SIP calculations.

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“…The IPR depth is taken as IPR zone. All the potential within the same IPR will be shifted by the same amount of ∆PIPR [16].…”

Section: Datum Correctionmentioning

confidence: 99%

Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method

Tarq,

Al-Obaidi

2023

IJCPE

View full text Add to dashboard Cite

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Deriving the Unknown Sublayer's Pressure in Producing Gas Wells Using the Selective Inflow Performance Workflow

Rehman,

Mirza,

Espinoza

et al. 2024

Day 3 Wed, February 14, 2024

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The accurate measurement of sub-zone pressures is crucial for monitoring the performance of reservoirs in gas fields. However, this can be challenging due to the commingled flow of multiple reservoirs and sub-zones within a single well. In this study, we evaluated the use of Production Logging (PLT) and Selective Inflow Performance (SIP) workflows for computing sub-layer pressure in carbonate reservoirs in Pakistan. The study was conducted on carbonate reservoirs located in Pakistan. The usual wells are vertical and have numerous perforations, resulting in combined production across multiple reservoirs and sub-zones. To determine the pressure of a specific sublayer, Production Logging (PLT) was carried out to collect data at various choke sizes. The data was then analyzed through Selective Inflow Performance (SIP) workflow. The Rawlins and Schell-Hardt equation was used to plot the relationship between flow rate and pressure, enabling analysts to match the trendline with the acquired data points. The proposed analysis revealed that at least three different chokes should be tested during PLT logging to ensure accurate results. In addition, for accurate analysis it is preferred that a single-phase fluid is flowing at high flow rates, to be able to detect contrasts between inflows from different zones. In Case-1 SIP workflows were applied on two independent reservoirs with multiple sub-zone entries and found that Reservoir-1 had a current pressure of around 1480psi, whereas Reservoir-2, which was more depleted, contributing more than 80% to production had a current pressure of around 1050psi. Shutting down the wells showed an estimated crossflow of 0.43 MMSCF/D from one reservoir to another. The results demonstrated a good relationship between PLT estimated flow rates and pressures across all producing sub-zones. In Case-2, it was observed that the highest contributing layer on every choke size became a thief zone in shut-in conditions. Such kind of a reservoir that contain mulitple isolated stringers that are commingled together in the well make it challenging for reservoir management. The successful application of SIP workflow allows to perform pressure time-lapse monitoring and adjust the dynamic model accordingly for future reservoir development. This study highlights the importance of periodically measuring sub-zone pressures for effective reservoir performance monitoring in gas fields.

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Characterization of Gas Wells by Selective Inflow Performance and Production Logging

Cited by 2 publications

References 0 publications

Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method

Identifying Average Reservoir Pressure in Multilayered Oil Wells Using Selective Inflow Performance (SIP) Method

Deriving the Unknown Sublayer's Pressure in Producing Gas Wells Using the Selective Inflow Performance Workflow

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