Validation and Analysis of Past PVT Studies from a Complex and Mature Offshore Asset in Trinidad

Bagoo, Danelle; Ramnarine, M.L.. L.; Rodriguez, C. J. Segnini; Hernandez, M..

doi:10.2118/169928-ms

Cited by 3 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(a) Ensuring that DLE and CCE experiments were performed at reservoir temperature (Bagoo et al 2014). (b) Comparison of field GOR and separator test GOR (c) Sample(s) with unreliable consistency condition can only be used as the representative sample if no valid sample was available.…”

Section: Representative Fluid Sample Selectionmentioning

confidence: 99%

“…Lawrence and Gupta (2009) have recommended the Hoffman plot as an applicable tool to investigate the quality of the surface samples and any flash laboratory data. Plotting of the various measured properties versus pressure is the simplest way to discover the reliability of laboratory method and the existence of outlier data (Drohm et al 1988;McCain Jr 2002;Bagoo et al 2014;Nnabuo et al 2014;Akpabio et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…To analyze the experimental measurements more precisely various complementary methods have been suggested during the decades. Application of the material balance in the DL test has been proposed by Bagoo et al (2014), Drohm et al (1988) and Lawrence and Gupta (2009). The validity of the CCE test could be verified by Y-function of the CCE test.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An inclusive consistency check procedure for quality control methods of the black oil laboratory data

Hashemi

Monfaredi

Sedaee

2020

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

Invalid PVT data provide high uncertainty in field development studies such as reservoir fluid compartmentalization, reserve estimation, reservoir simulation, production engineering, and surface facility design. Then, consistency check should be conducted to ensure the validity of PVT data and to identify the most representative PVT sample(s). In this paper, preliminary and complementary consistency check of PVT laboratory methods was applied to design a new comprehensive validity check procedure for verification of the reservoir fluid properties. This procedure would be ascertained whether or not the data could be used as the most representative fluid sample in further studies. The data used in this study were collected from seven undersaturated oil reservoirs, and challenges were observed through the 28 full set of available PVT laboratory data. In our study quality checking procedure of PVT samples consists of different methods such as graphical method, recombination and material balance check for well stream composition test, Buckley, modified Wilson and Hoffman plot, Watson characterization factor, Y-function of CCE test, Y-function of DL test, compositional material balance of DL test, overall mass balance for density, Bo and GOR of DL test and density check for separator test. After implementing the applicable proposed checking procedure to detect the validity of laboratory PVT sample, only 9 out of 28 PVT samples were satisfied all the preliminary and complementary check methods. Furthermore, a practical strategy, to select representative reservoir fluid sample, was also provided and discussed based on the consistency check, well condition check and comparison of fluid properties.

show abstract

Section: Representative Fluid Sample Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An inclusive consistency check procedure for quality control methods of the black oil laboratory data

Hashemi

Monfaredi

Sedaee

2020

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

show abstract

“…In order to obtain a representative integrated simulation model, it is essential to have a correct areal and vertical fluid characterization based on revision and validation of the available laboratory data (Rodríguez et al, 2007;Martinsen, 2010;Sajedian et al, 2010;Bagoo et al, 2014, Paredes et al, 2014. Fluid studies were conducted on the collected samples and field specific trends were correlated as more data was gathered.…”

Section: Introductionmentioning

confidence: 99%

Improvement of the Compositional Model to Represent a Complex Fluid System of a UAE Carbonate Reservoir

Khan

Uchida

Awolayo

et al. 2015

Day 4 Thu, November 12, 2015

View full text Add to dashboard Cite

The studied field is located in Abu Dhabi and has been identified as faulted anticlines structure with associated local fractures. The reservoir is characterized by lateral and vertical variations in reservoir rock and fluid properties ranging from a gas condensate at the top of the structure to undersaturated black oil down the reservoir. A substantial compositional gradient has been identified from over 50 fluid samples taken at different depths over the thick fluid column of about 1500 feet. The field is presently under miscible hydrocarbon WAG (HC-WAG) injection, water injection and future consideration for CO2-WAG injection.The field has been characterized using an Equation of State (EOS) model and compositional mapping with areal changes of saturation pressure. Therefore, the aim of this study is to improve the compositional model that can replicate the areal and vertical variation in the fluid thermodynamic. This presents a huge task considering the vast number of laboratory experiments. Hence, the updated EOS will be used to improve the reliability of reservoir modeling, production forecasts and operational requirements.All the fluids analyses studies were compiled and validated. These data were analyzed areally and vertically down the fluid column. Correlations of saturation pressure, gas-oil ratio, formation volume factor and compositions were generated with depths across the formation. The data showed a large variation of saturation pressure, all fluids parameters and composition with depth especially close to the gas oil contact. Then the compositions and saturation pressures were validated using a 1-D vertical model and obtained results were compared with the experimental values at various depth.The obtained result proved that a single EOS and fluid representation could model the complex thermodynamic behavior of all the reservoirs in the field. Considering that part of the field has been under HC-WAG injection and future consideration for other WAG processes, the generated EOS would allow the numerical simulation to have a better representation of the fluids and predict the impact of these processes on the ultimate oil recovery.

show abstract

Integrated Asset Modeling in Mature Offshore Fields: Challenges and Successes

Nazarov

Zalama

Hernandez

et al. 2014

Day 3 Wed, June 11, 2014

View full text Add to dashboard Cite

Production management in mature fields is a very challenging task which involves a multidisciplinary technical approach to minimize the decline rate and extend the life of the asset/field. Most of the time Integrated Asset Modeling (IAM) techniques are applied to green fields with main objectives of identifying the “bottlenecks” or to forecast production with different development cases. In the case of mature fields it is mostly considered as an optional study with less analytical value due to low operating surface pressures, already existing facilities, known well performance and studied reservoir geology. Nevertheless the processing of the reservoir, production and operational data in mature assets through one integrated workflow facilitates field management overall, thereby helping in the estimation of the remaining reserves and indicating real opportunities for optimization not seen by initial engineering scenarios. Additionally, IAM should be incorporated before getting to EOR studies. This paper describes the applied reservoir engineering workflow and integrated production model for the TSP fields (Teak, Samaan and Poui) located in the South East of Trinidad. TSP fields are jointly owned by by Repsol (70%), Petrotrin (15%) and NGC (15%) and are operated by Repsol. Current production of TSP is 13, 500 bopd. The oil produced from these fields is generally light oil, with an average range of 25-40 API and a solution GOR 200-1400scf/stb. Gas lift is the artificial lift system used in 95% of the wells. Average water cut is around 85%. Interaction of Production Engineering, Subsurface, Drilling, HSE, Facilities, and Maintenance departments is the key aspect to sustain the efficient operability of the TSP fields and operate at peak performance in spite of ageing installations, flow assurance problems and depleted reservoirs. The implementation of Operated Asset Structure in TSP in 2013 reinforced the cooperation between departments to achieve the main goals: minimum production deferrals, production optimization, screening of new opportunities and reserves, process improvement, facilities maintenance and effective logistics. Additionally, the Integrated Asset Modeling has been incorporated as part of the engineering surveillance which includes 3 fields, 100 wells, gas lift injection network, gas compressors, water treatment plant, etc. Real data from different sources and platforms, such as pressure temperature sensors, daily measured well parameters, reported operational figures, monthly welltests and screened remaining reserves are jointly transferred to the integrated model, built in commercial software (GAP/RESOLVE), bringing the field data processing and production management to the state-of-the-art level. Gas lift volume availability and system pressure, performed rigless intervention jobs (including recompletion of new zones), change of the fluid composition in certain wells, reconfiguration of facilities are timely reflected in the TSP integrated model. Based on the sensitivity runs and output results immediate actions are taken to comply with the production target.

show abstract

Validation and Analysis of Past PVT Studies from a Complex and Mature Offshore Asset in Trinidad

Cited by 3 publications

References 5 publications

An inclusive consistency check procedure for quality control methods of the black oil laboratory data

An inclusive consistency check procedure for quality control methods of the black oil laboratory data

Improvement of the Compositional Model to Represent a Complex Fluid System of a UAE Carbonate Reservoir

Integrated Asset Modeling in Mature Offshore Fields: Challenges and Successes

Contact Info

Product

Resources

About