Optimal Field Development Through Infill Drilling for the Main Pay in South Rumaila Oil Field

2010 ◽  
Author(s):  
Wathiq Jassim Mohammed Al-Mudhafer ◽  
Mohammed Saleh Al-Jawad ◽  
Dunia Abdulshaib Abdu Al-Shamma
Keyword(s):  
Oil Field ◽  
Field Development ◽  
Infill Drilling ◽  
South Rumaila Oil Field

Reservoir prediction in a development area with a high-density well pattern using seismic sedimentology: An example from the BB2 block, Changyuan LMD oil field, Songliao Basin, China

2015 ◽  
Vol 3 (3) ◽  
pp. SS87-SS99 ◽  
Author(s):  
Shunguo Cheng ◽  
Yan Jiang ◽  
Jie Li ◽  
Cao Li ◽  
Yanhui Wang ◽  
...  
Keyword(s):  
Average Density ◽  
Oil Field ◽  
Reservoir Prediction ◽  
Log Data ◽  
Field Development ◽  
Well Pattern ◽  
Infill Drilling ◽  
Seismic Sedimentology ◽  
Reservoir Description ◽  
Sand Bodies

The Daqing Changyuan oil field is primarily composed of large, fluvial-deltaic thin sandstones and shales with a high degree of heterogeneity. Over the past 50 years of development, the geologic study of this reservoir has relied on a large amount of well-log data in the field. However, a detailed reservoir description based only on wireline-log data cannot meet the requirements of oil field development. There is still some uncertainty about the sand boundary and geometry, due to reliance only on data from fields with an average density of approximately [Formula: see text]. Such uncertainty may severely affect the potential for producing the remaining oil in these mature oil fields. In this study, seismic-sedimentology guided reservoir prediction is examined in an area of dense wells in BB2 block in the Changyuan LMD oil field. The spatial distribution of channel-sand bodies was identified and recognized by facies analysis, sandstone thickness mapping, and seismic stratal slicing of reservoir units, using the principles and methods of seismic sedimentology. The results showed that the seismic amplitude can be correlated to log lithologies. The interpretation of sandstone can be improved by 90°-phase seismic data, and the distribution of channel sand with a thickness greater than 5 m can be directly predicted. The identification and prediction of the boundaries of channel-sand bodies are thus improved. The results have proved useful in new infill drilling and reperforations.

Oil Reserves Evaluation and Field Development plan of Hakim Oil Field in Libya

2016 ◽  
Vol 18 (1) ◽  
pp. 39-53
Author(s):  
Omar Salih ◽  
Mahmoud Tantawy ◽  
Sayed Elayouty ◽  
Atef Abd Hady
Keyword(s):  
Oil Field ◽  
Development Plan ◽  
Field Development ◽  
Oil Reserves

scholarly journals Incremental and acceleration production estimation and their effect on optimization of well infill locations in tight gas reservoirs

2021 ◽  
Author(s):  
Atheer Dheyauldeen ◽  
Omar Al-Fatlawi ◽  
Md Mofazzal Hossain
Keyword(s):  
Transient Flow ◽  
Development Planning ◽  
Main Role ◽  
Gas Reservoirs ◽  
Type Curves ◽  
Field Development ◽  
Drilling Performance ◽  
Well Location ◽  
Infill Drilling ◽  
Tight Formations

AbstractThe main role of infill drilling is either adding incremental reserves to the already existing one by intersecting newly undrained (virgin) regions or accelerating the production from currently depleted areas. Accelerating reserves from increasing drainage in tight formations can be beneficial considering the time value of money and the cost of additional wells. However, the maximum benefit can be realized when infill wells produce mostly incremental recoveries (recoveries from virgin formations). Therefore, the prediction of incremental and accelerated recovery is crucial in field development planning as it helps in the optimization of infill wells with the assurance of long-term economic sustainability of the project. Several approaches are presented in literatures to determine incremental and acceleration recovery and areas for infill drilling. However, the majority of these methods require huge and expensive data; and very time-consuming simulation studies. In this study, two qualitative techniques are proposed for the estimation of incremental and accelerated recovery based upon readily available production data. In the first technique, acceleration and incremental recovery, and thus infill drilling, are predicted from the trend of the cumulative production (Gp) versus square root time function. This approach is more applicable for tight formations considering the long period of transient linear flow. The second technique is based on multi-well Blasingame type curves analysis. This technique appears to best be applied when the production of parent wells reaches the boundary dominated flow (BDF) region before the production start of the successive infill wells. These techniques are important in field development planning as the flow regimes in tight formations change gradually from transient flow (early times) to BDF (late times) as the production continues. Despite different approaches/methods, the field case studies demonstrate that the accurate framework for strategic well planning including prediction of optimum well location is very critical, especially for the realization of the commercial benefit (i.e., increasing and accelerating of reserve or assets) from infilled drilling campaign. Also, the proposed framework and findings of this study provide new insight into infilled drilling campaigns including the importance of better evaluation of infill drilling performance in tight formations, which eventually assist on informed decisions process regarding future development plans.

Simultaneous Measuring Method for Both Volumetric Flow Rates of Air-Water Mixture Using a Turbine Flowmeter

1996 ◽  
Vol 118 (1) ◽  
pp. 29-35 ◽  
Author(s):  
K. Minemura ◽  
K. Egashira ◽  
K. Ihara ◽  
H. Furuta ◽  
K. Yamamoto
Keyword(s):  
Pressure Drop ◽  
Flow Rate ◽  
Volumetric Flow Rate ◽  
Oil Field ◽  
Liquid Density ◽  
Water Mixture ◽  
Rotor Speed ◽  
Flow Rates ◽  
Field Development ◽  
Turbine Flowmeter

A turbine flowmeter is employed in this study in connection with offshore oil field development, in order to measure simultaneously both the volumetric flow rates of air-water two-phase mixture. Though a conventional turbine flowmeter is generally used to measure the single-phase volumetric flow rate by obtaining the rotational rotor speed, the method proposed additionally reads the pressure drop across the meter. After the pressure drop and rotor speed measured are correlated as functions of the volumetric flow ratio of the air to the whole fluid and the total volumetric flow rate, both the flow rates are iteratively evaluated with the functions on the premise that the liquid density is known. The evaluated flow rates are confirmed to have adequate accuracy, and thus the applicability of the method to oil fields.

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