Academic literature on the topic 'Reserves estimation'

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Journal articles on the topic "Reserves estimation"

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Jayaputra, Harsalim Aimunandar. "Laterite Nickel Mine Sequence Modeling Based on Total Reserve at Block 5A, “Bonus” Pit by Surpac 6.3.2 at PT Bintang Delapan Mineral in Bahodopi District, Morowali Regency, Central Sulawesi." Journal of Earth and Marine Technology (JEMT) 1, no. 2 (March 31, 2021): 14–20. http://dx.doi.org/10.31284/j.jemt.2021.v2i1.1725.

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PT. Bintang Delapan Mineral is an active nickel mine company that produces 300,000 tons of nickel per month by open pit method. During the mine operation, the company needs to calculate the reserves periodically due to decreasing nickel reserves in the long time period. Mineral reserves estimation is a process to determine and define the grade and boundary of a mineral deposit. Reserves estimation can be done manually using several methods. One method is called block modeling which presents the estimation process in block model type by applying a mining software, called Surpac 6.3.2. It was able to present the progress of mine site activity (pushback). The result of nickel reserves estimation by Surpac 6.3.2 block modeling is 48730 m3 or equal to 73096 tons. The nickel reserves have an average grade of 1.64%. By this reserve estimation, mine sequences could be created into 7 sequences in considering bench height. Bench model specifications are bench high 4 m, berm 2 m, and 60º slope.
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Kuo, Chau-Jung. "Bank Reserve's Setting for Minimizing the Price Fluctuations: Taiwan's Case Studies." Review of Pacific Basin Financial Markets and Policies 02, no. 03 (September 1999): 317–40. http://dx.doi.org/10.1142/s0219091599000187.

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This paper presents a stochastic financial model from which one can derive the optimal reserves ratio for stabilizing price level. It is shown that the optimal reserves ratio is a function of the structure of unanticipated shocks to liquid asset market and high-powered money market. An important policy implication, drawn from my model, suggests that it may help for the stabilization of price level if a lower level of the reserve requirements was adopted by the central bank when the shock exists solely in liquid asset market. An application of the presented model to the financial assets in Taiwan suggests that the optimal reserves ratio for stabilizing price level is approximately 5.7717 per cent in the case of the 2-SLS estimation, and 4.2442 per cent in the case of the SUR estimation, below the weighted average of actual 7.7575 per cent up to the end of 1997. The empirical findings further suggest Taiwan's monetary authority would thus have to accept a lower level of the reserve requirements in order to reduce the price fluctuations.
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Kapageridis, I., and C. Albanopoulos. "RESERVES ESTIMATION OF A MARBLE QUARRY USING QUALITY INDICATORS." Bulletin of the Geological Society of Greece 50, no. 4 (July 28, 2017): 1849. http://dx.doi.org/10.12681/bgsg.11924.

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The use of standard estimation and modelling software tools in estimating marble quarry reserves poses a number of challenges. Marble quarry reserves are based on marble quality categories, almost unique for each quarry/deposit considered. These categories represent visual and physical aspects of marble such as colour, texture and fractures. Classification of marble to one of the categories is performed by experienced personnel and is based on samples much smaller in area than the blocks of marble which are potentially exploited. The available information is, also, mostly qualitative leading to further complications in the application of geomathematical estimation methods. The estimation of marble reserves described in this paper is based on interpolating quality indicator values from drillhole and quarry face samples to blocks in three dimensions. The procedure is applied in all working quarries of Iktinos Hellas SA and is based on Maptek Vulcan Quarry Modeller, a mine planning package adapted for quarrying. Its application and results is demonstrated using a case study from one of the quarries in NE Greece.
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Foianini, Ivo, and Jarrett Dragani. "Building a Career in Reserves Estimation." Way Ahead 11, no. 02 (June 1, 2015): 22–24. http://dx.doi.org/10.2118/0215-022-twa.

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Lee, W. John, and Rod Sidle. "Gas-Reserves Estimation in Resource Plays." SPE Economics & Management 2, no. 02 (October 1, 2010): 86–91. http://dx.doi.org/10.2118/130102-pa.

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Denney, Dennis. "Gas-Reserves Estimation in Resource Plays." Journal of Petroleum Technology 62, no. 12 (December 1, 2010): 65–67. http://dx.doi.org/10.2118/1210-0065-jpt.

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de Alba, Enrique. "Bayesian Estimation of Outstanding Claim Reserves." North American Actuarial Journal 6, no. 4 (October 2002): 1–20. http://dx.doi.org/10.1080/10920277.2002.10596060.

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Kwon, Hyukchun, and Chang Wook Kang. "Improving Project Budget Estimation Accuracy and Precision by Analyzing Reserves for Both Identified and Unidentified Risks." Project Management Journal 50, no. 1 (November 29, 2018): 86–100. http://dx.doi.org/10.1177/8756972818810963.

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Project risk is a critical factor in estimating project budget. Previous studies on this topic have only addressed estimation methods that consider project budget reserves against identified risks. As a result, project managers still face the challenge of completing projects within given budgets but without the relevant tools to deal with unidentified risks. This study proposes an approach for estimating reserves for both identified and unidentified risks separately. The study also suggests using the three-point estimation technique and R-value determination for estimating risk costs, which can improve budget accuracy and precision. The construction of residential building projects in South Korea demonstrates the advantages of the proposed approach compared with previous methods.
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Huseinov, G. J., and A. A. Abduev. "Prospectivity estimation of Palchig Pilpilesi oil field." Azerbaijan Oil Industry, no. 3 (March 15, 2020): 4–8. http://dx.doi.org/10.37474/0365-8554/2020-3-4-8.

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The paper deals with the estimation of reserves of Gala suite horizon in Palchig Pilpilesi oil field and the suggestions on their efficient usage. The prospecting and exploration was started in 1952 in Palchig Pilpilesi field, and in 1953 the well No 261 drilled to Gala suite horizon in south-east part placed on the production with the output up to 40 t/day. Currently, the field is on the last development stage. In 2009, “Oil-Gas Scientific Research Project” Institute carried out the estimation of proven reserves of the field according to which residual reserves in Gala suite horizon in Palchig Pilpilesi field comprise 40077.4 thousand tons and proven production reserves in 2306.4 thousand tons included in A+B+C1 category. It should be noted that 48 % of residual proven oil reserves are only in Gala suite horizon. At present, the exploitation of Gala suite horizon is conducted in 62 wells. The drilling of wells from additional platforms to be constructed over the coming years is planned. The accumulation of significant amount of proven reserves in III, V, X and XII blocks of Gala suite’s horizons and the rocks’ high characteristics (porosity, permeability, oil saturation etc.) give reason for studying it and review the practicability of additional wells.
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Alai, Daniel H., and Mario V. Wüthrich. "Taylor Approximations for Model Uncertainty within the Tweedie Exponential Dispersion Family." ASTIN Bulletin 39, no. 2 (November 2009): 453–77. http://dx.doi.org/10.2143/ast.39.2.2044643.

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AbstractThe use of generalized linear models (GLM) to estimate claims reserves has become a standard method in insurance. Most frequently, the exponential dispersion family (EDF) is used; see e.g. England, Verrall. We study the so-called Tweedie EDF and test the sensitivity of the claims reserves and their mean square error of predictions (MSEP) over this family. Furthermore, we develop second order Taylor approximations for the claims reserves and the MSEPs for members of the Tweedie family that are difficult to obtain in practice, but are close enough to models for which claims reserves and MSEP estimations are easy to determine. As a result of multiple case studies, we find that claims reserves estimation is relatively insensitive to which distribution is chosen amongst the Tweedie family, in contrast to the MSEP, which varies widely.
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Dissertations / Theses on the topic "Reserves estimation"

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Buba, Ibrahim Muhammad. "Direct estimation of gas reserves using production data." Texas A&M University, 2003. http://hdl.handle.net/1969/153.

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ATHERINO, RODRIGO SIMOES. "STATE SPACE MODELS FOR IBNR RESERVES ESTIMATION: ROW-WISE STACKING THE RUNOFF TRIANGLE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13789@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Este trabalho versa sobre previsão de reservas do tipo IBNR levando-se em conta uma ordenação diferente do triângulo de runoff incremental. Esta se dá por linhas empilhadas, originando, assim, uma série temporal univariada repleta de valores faltantes, cuja soma desses valores constitui o IBNR a ser estimado. Duas abordagens de estimação, inteiramente baseadas na teoria dos modelos em Espaço de Estado e do filtro de Kalman, são desenvolvidas, implementadas com dados reais de empresas seguradoras, e comparadas entre si e a outros métodos de estimação já consagrados na literatura atuarial. A primeira abordagem pauta-se no cálculo da matriz de covariâncias condicionais das componentes do IBNR, e a segunda é um processo de obtenção do IBNR por acumulação. Os resultados obtidos revelam, para as abordagens propostas, os seguintes pontos sumários: (i) plena eficiência e viabilidade computacional; (ii) sistemático ganho em termos de acurácia do IBNR estimado; e (iii) abrangência no que diz respeito às possibilidades de modelagem estatística dos dados de IBNR.
This work deals with prediction of IBNR reserves under a different ordering of the non-cumulative runoff triangle. This is accomplished by stacking the rows, which results in a univariate time series with several missing values, whose corresponding sum is in fact the IBNR. Two estimation approaches, entirely based on state space methods and Kalman filtering, are developed, implemented with real data, and compared with some well established estimation methods for IBNR. The first approach consists in obtaining the conditional covariance matrix of the IBNR components, and the second tackles the IBNR estimation under an accumulation process. Three remarks emerge from the empirical results: (i)computational feasibility and efficiency; (ii)precision improvement for IBNR estimation; and (iii)flexibility in which concerns the IBNR modelling framework.
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VIBERT, LAURENT. "Estimation des reserves en fer chez les coureurs de fond et de demi-fond." Nice, 1988. http://www.theses.fr/1988NICE6523.

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Liao, Hongtao. "Estimation des reserves recuperables de gisements d'or : comparaison entre krigeage disjonctif et krigeage des indicatrices." Orléans, 1990. http://www.theses.fr/1990ORLE2013.

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Le krigeage disjonctif et le krigeage des indicatrices sont deux methodes couramment utilisees dans la pratique miniere pour l'estimation des reserves recuperables. La presente these a pour objectif d'examiner d'un point de vue experimental leurs performances respectives et leur degre de complexite. Ces methodes sont testees sur trois gisements qui correspondent a des contextes sensiblement differents. On presente tout d'abord la modelisation des lois bivariables ponctuelles dans le cadre de modeles isofactoriels lies a des anamorphoses gaussienne ou gamma. Les relations entre les divers variogrammes permettent d'obtenir un modele coherent au niveau ponctuel. La deuxieme etape est consacree a la modelisation des lois bivariables point-bloc. On distingue deux classes de modele: discretise et continu. La premiere suppose que le point est implante de facon aleatoire dans son bloc v, tandis que la seconde prend en compte sa localisation exacte. Ces modeles sont appliques a l'estimation globale des reserves recuperables des trois gisements. A titre indicatif, on donne les resultats auxquels conduit une correction affine globale, qui se revele inacceptable. En ce qui concerne l'estimation locale des reserves recuperables, on examine les performances respectives du krigeage disjonctif et du krigeage des indicatrices. On constate que le kd de laguerre (anamorphose gamma) conduit aux resultats les meilleurs. Son avantage est d'autant plus sensible que le changement de support est important
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Apala, Chandrakanth Reddy. "Development of a coal reserve GIS model and estimation of the recoverability and extraction costs." Morgantown, W. Va. : [West Virginia University Libraries], 2009. http://hdl.handle.net/10450/10798.

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Thesis (M.S.)--West Virginia University, 2009.
Title from document title page. Document formatted into pages; contains viii, 81 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 61-62).
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Kurdi, Ammr. "Regulation and Political Costs in the Oil and Gas Industry: An Investigation of Discretion in Reporting Earnings and Oil and Gas Reserves Estimates." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc30481/.

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This study investigates the use of discretion by oil and gas companies in reporting financial performance and oil and gas reserve estimates during times of high political scrutiny resulting from increases in energy prices. Hypotheses tested in prior literature state that companies facing the risk of increasing taxes or new regulations reduce reported earnings to reduce this risk. This study uses a measure of high profitability (rank order of return on assets relative to industry peers) to identify oil and gas companies more likely to manage earnings during the period from 2002 to 2008. Two measures of discretionary accruals (total and current discretionary accruals), and a measure of discretionary depreciation, depletion, and amortization (DDA) were used as indicators of discretion exercised in reporting earnings. Data on oil and gas reserve disclosures was also hand-collected from Forms 10-K to investigate whether managers use reserve estimate revisions to reduce reported earnings through increasing the annual depletion expense. Results suggest that both oil and gas refining and producing firms use negative discretionary accruals to reduce reported earnings. Results also indicate that profitability is an important determinant of the use of negative discretionary accruals by these companies regardless of the time period examined. There is also evidence that oil and gas producing firms opportunistically revise their oil and gas reserve estimates to increase depreciation, depletion, and amortization expense during periods of high oil prices.
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Ulker, Emine Buket. "Stochastic Approach In Reserve Estimation." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/1091669/index.pdf.

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Geostatistics and more specifically stochastic modeling of reservoir heterogeneities are being increasingly considered by reservoir analysts and engineers for their potential in generating more accurate reservoir models together with usable measures of spatial uncertainty. Geostatistics provides a probabilistic framework and a toolbox for data analysis with early integration of information. The uncertainty about the spatial distribution of critical reservoir parameters is modeled and transferred all the way to a risk conscious reservoir management. The stochastic imaging (modeling) algorithms allow the generation of multiple, equiprobable, unsmoothed reservoir models yet all honoring the data available. This thesis presents stochastic reserve estimation methods as related to the various stages of development of an oil field. Advances in technology are leading to better deterministic estimates as well as stochastic estimates with narrower ranges. Practices in the industry vary from complete dedication to deterministic or stochastic to a choice of the method depending on the stage of the development. In this study, reserves are calculated from the data available in Southeastern Turkey by using stochastic methods. Probability density functions, number of iterations are important statistical concepts. Increasing number of iterations leads to a normal distribution of histogram.
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KUBRUSLY, JESSICA QUINTANILHA. "ESTATISTICAL METHODS FOR RESERVE ESTIMATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7619@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
ICATU HARTFORD
A Resolução CNSP no 18 de 25 de agosto de 1998 tornou obrigatória a provisão para sinistros ocorridos e não avisados, IBNR. Por causa disso, a estimativa da reserva de IBNR passou a fazer parte do cotidiano das seguradoras brasileiras. Algumas maneiras, tradicionais ou usuais, de determinar essa quantia serão expostas nesse trabalho. Assim como será apresentada uma nova forma para estimar o IBNR. Os diferentes caminhos para chegar à essa estimativa serão comparados com o objetivo de destacar as vantagens e desvantagens de cada um deles.
The CNSP number 18 bylaw promulgated on August 25, 1998 obliging payment has become mandatory when even not communicated, IBNR. Hence, estimates from IBNR have become routine in all brazilian insurance companies. Some ways to determine these compensations shall be clarified in this report. In addition, I shall try to outline a new formula to estimate the IBNR The different paths to reach the very same estimate can be compared with the purpose of underlying the pro's and the con's of each estimate.
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MORVAN, BERTRAND ANNETTE. "Dynamique de repousse et mobilisation des reserves glucidiques des gaines et des feuilles en croissance de lolium perenne l. Apres une defoliation ; estimation du role des gibberellines sur la repousse et sur la regulation de l'activite fructane exohydrolase." Caen, 1998. http://www.theses.fr/1998CAEN2047.

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En utilisant 2 niveaux de fertilisation azotee, couples a 3 regimes photoperiodiques, des ray-grass anglais possedant des teneurs tres differentes en glucides solubles ont ete obtenus. Apres une defoliation, la production de matiere seche foliaire apres 28 jours de repousse n'est pas liee au niveau initial en glucides. Par contre, la teneur initiale en fructanes a la base des feuilles en croissance influence fortement la production de matiere seche foliaire pendant les 2 premiers jours de repousse. Alors que la teneur en fructanes chute immediatement apres la coupe a la base des feuilles en croissance, elle diminue 1h30 apres la coupe dans les gaines. Des les premieres heures de repousse, les fructanes situes dans les zones de division et d'elongation cellulaire, comme ceux situes dans la zone de differenciation cellulaire sont hydrolyses. Cette mobilisation s'accompagne dans les 3 zones d'une forte augmentation de l'activite fructane exohydrolase (feh) qui devient maximale dans la zone d'elongation cellulaire. Les fructanes accumules dans la zone de croissance foliaire semblent donc utilises etre dans les cellules en division et en elongation pour soutenir la croissance foliaire apres la coupe. Le role des gibberellines (gas) dans la regulation de l'activite feh a ete estime en utilisant 2 inhibiteurs de la synthese des gas. L'uniconazole reduit l'augmentation de l'activite feh apres la coupe et cette inhibition est contrecarree par l'apport de ga#3. La prohexadione ne conduit pas a une inhibition reproductible de l'augmentation de l'activite feh. Les gas ne semblent donc pas intervenir directement dans la regulation de l'activite feh. L'identification des gas endogenes laisse penser que la voie de synthese dite de l'hydroxylation precoce du carbone n#o 13 fonctionne chez le raygrass anglais. L'evolution des teneurs en gas indique que la defoliation entraine un ralentissement des 20-oxydations de ga#5#3 et ga#1#9 et favorise la 2-beta-hydroxylation de ga#2#0.
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Moerup, Casper Jacob. "Prediction of claim cost in general insurance." Master's thesis, Instituto Superior de Economia e Gestão, 2019. http://hdl.handle.net/10400.5/18176.

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Mestrado em Actuarial Science
O trabalho seguinte foi realizado durante uma colocação de estágio na If Industrial P & C Insurance, em Estocolmo, na Suécia. Este relatório destaca e discute algumas das diferenças entre o seguro industrial e privado e percorre o processo de “Análise do Ano Normal”. A análise avalia os dados das reivindicações com o objetivo de projetar as perdas em um ano no futuro. A Teoria do Risco Colectivo e a Estimação da Máxima Verossimilhança são utilizadas para obter uma estimativa da gravidade das reivindicações. Além disso, as reservas são estimadas usando o método Chain-ladder. A seção final do relatório descreve uma análise de sensibilidade de um modelo para as reservas de ajuste de sinistros. Esta análise mostra o impacto da introdução de dois novos parâmetros, o que explica a parte já desenvolvida das reivindicações abertas.
The following work was carried out during an internship placement at If Industrial P&C Insurance in Stockholm, Sweden. This report highlights and discusses some of the differences between Industrial and Private insurance and walks through the “Normal Year Analysis”-procedure. The analysis assesses the claims data with the goal of projecting the losses one year into the future. Collective Risk Theory and Maximum Likelihood Estimation is used to obtain an estimate of the severity of the claims. In addition, the reserves are estimated, using the Chain-ladder method. The final section of the report describes a sensitivity analysis of a model for the Claims Adjustment Reserves. This analysis shows the impact of introducing two new parameters, which accounts for the already developed part of the open claims.
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Books on the topic "Reserves estimation"

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Goetzmann, William N. The effect of seller reserves on market index estimation. New Haven, CT: Yale School of Organisation and Management, 1994.

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National Conference on Ironmaking Resources and Reserves Estimation (1997 Perth, W.A.). Ironmaking resources and reserves estimation: Proceedings of the National Conference on Ironmaking Resources and Reserves Estimation, 25-26 September 1997, Perth, WA. Edited by Misra Vibhuti N, Dunlop John S, and Australasian Institute of Mining and Metallurgy. Perth Branch. Carlton, Vic: The Institute, 1997.

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Estimation and classification of reserves of crude oil, natural gas and condensate. Richardson, TX: Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers, 2001.

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White, Eric M. Area-specific recreation use estimation using the National Visitor Use Monitoring Program data. Portland, OR: United States Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.

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White, Eric M. Area-specific recreation use estimation using the National Visitor Use Monitoring Program data. Portland, OR: United States Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.

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White, Eric M. Area-specific recreation use estimation using the National Visitor Use Monitoring Program data. Portland, OR: United States Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.

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White, Eric M. Estimation of national forest visitor spending averages from national visitor use monitoring: Round 2. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2013.

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Branch, Australasian Institute of Mining and Metallurgy Illawarra. The resource database towards 2000: Towards 2000 AusIMM mineral resources and ore reserves estimation seminars. Wollongong]: The AusIMM Illawarra Branch, 1997.

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Sampling and Ore Reserves (1991 Toronto, Ont.). Sampling and ore reserves: Proceedings of a seminar offered by the Prospectors and Developers Association of Canada : Saturday, March 23, 1991, Royal York Hotel, Toronto, Ontario. Edited by Lawton Saley E and Prospectors and Developers Association of Canada. [Toronto, Ont: Prospectors and Developers Association, 1991.

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Society of Core Analysts European Core Analysis Symposium (1st 1990 London, England). Advances in core evaluation: Accuracy and precision in reserves estimation : reviewed proceedings of the First Society of Core Analysts European Core Analysis Symposium, London, UK, 21-23 May 1990. New York: Gordon and Breach Science Publishers, 1990.

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Book chapters on the topic "Reserves estimation"

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Okotie, Sylvester, and Bibobra Ikporo. "Volumetric Reserves Estimation." In Reservoir Engineering, 87–130. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02393-5_3.

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de Wit, G. W. "Sources of Funds and Estimation of Reserves." In A Guide to Insurance Management, 245–65. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-07495-2_15.

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Kwa, B. L., and P. Mousset-Jones. "Estimation practices for reserves of gold deposits." In Mining Latin America / Minería Latinoamericana, 201–19. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-017-2286-5_20.

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Campbell, C. J. "The Estimation and Reporting of Reserves and Production." In Campbell's Atlas of Oil and Gas Depletion, 11–13. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3576-1_2.

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Roumpos, Christos P., Nikolaos I. Paraskevis, Michael J. Galetakis, and Theodore N. Michalakopoulos. "Mineable Lignite Reserves Estimation in Continuous Surface Mining." In Lecture Notes in Production Engineering, 177–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12301-1_18.

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Guibal, Daniel. "Recoverable Reserves Estimation at an Australian Gold Project." In Quantitative Geology and Geostatistics, 149–68. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3383-5_9.

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Yi, Yan-jing, Hua Yang, Rui-e. Yuan, Gui-fang Fa, Zhi-yu Li, Xin-jun Shao, Zhong-sheng Wang, and Ming-jun Xia. "Estimation Methodology on Equity Reserves of International Cooperated Petroleum Projects." In Springer Series in Geomechanics and Geoengineering, 3257–66. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0761-5_306.

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Hedong, Sun, Cui Yongping, Cao Wen, and Li Yanchun. "Reserves Estimation of Two-Layer Commingled Gas Well by Material Balance Method." In Proceedings of the International Field Exploration and Development Conference 2018, 822–27. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7127-1_76.

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Pereira, H. Garcia, A. Costa e Silva, L. Ribeiro, and L. Guerreiro. "Estimation of Reserves at Different Phases in the History of an Oil Field." In Geostatistics, 543–55. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-015-6844-9_42.

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Sivaram, M., K. K. Ramachandran, E. A. Jayson, and P. V. Nair. "Estimation of Abundance of Asiatic Elephants in Elephant Reserves of Kerala State, India." In Forum for Interdisciplinary Mathematics, 267–81. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1476-0_17.

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Conference papers on the topic "Reserves estimation"

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Cheng, Yueming, W. John Lee, and Duane A. McVay. "Quantification of Uncertainty in Reserves Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs." In ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29694.

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Decline curve analysis is the most commonly used technique to estimate reserves from historical production data for evaluation of unconventional resources. Quantifying uncertainty of reserve estimates is an important issue in decline curve analysis, particularly for unconventional resources since forecasting future performance is particularly difficult in analysis of unconventional oil or gas wells. Probabilistic approaches are sometimes used to provide a distribution of reserve estimates with three confidence levels (P10, P50 and P90) and a corresponding 80% confidence interval to quantify uncertainties. Our investigation indicates that uncertainty is commonly underestimated in practice when using traditional statistical analyses. The challenge in probabilistic reserves estimation is not only how to appropriately characterize probabilistic properties of complex production data sets, but also how to determine and then improve the reliability of the uncertainty quantifications. In this paper, we present an advanced technique for probabilistic quantification of reserve estimates using decline curve analysis. We examine the reliability of uncertainty quantification of reserve estimates by analyzing actual oil and gas wells that have produced to near-abandonment conditions, and also show how uncertainty in reserves estimates changes with time as more data become available. We demonstrate that our method provides more reliable probabilistic reserves estimation than other methods proposed in the literature. These results have important impacts on economic risk analysis and on reservoir management.
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Ihebuzor, Valentine, Obinna Onyeneke, Adeola Adebari, and Obasi Ogbonnaya. "An Approach to Estimating Reserve Volumes by Discounting Unauthorized Production Via Crude Oil Theft." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207110-ms.

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Abstract Reserves are typically estimated and re-validated throughout the life of a producing field. The accuracy of this estimation is based on the availability of relevant and current data from that reservoir or field and other factors. There are several methods for estimating reserves, but the choice of which method is to be applied is often based on the data available per time. However, these methods are known to be associated with varying degrees of uncertainties arising from quality of data, the assumptions adopted and the experience of the evaluator. The biggest uncertainty in reserve estimation lies in the inability of the commonly available methods to estimate and discount the huge volumes lost due to unauthorized production by third parties, through crude oil theft, illegal bunkering activities, and spills. This leads to the gross overestimation of reserves and the economic viability of an asset, especially in onshore and shallow offshore assets where such illegal activities are typical and rampant. This paper showcases an approach of estimating reserves, through the integration of multidisciplinary data, which enables the estimation and discounting of crude oil volumes lost due to illegal production from a reservoir.
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Hsieh, F. S., C. Vega, and L. Vega. "Reserves Estimation for a Coalbed Well." In Canadian International Petroleum Conference. Petroleum Society of Canada, 2001. http://dx.doi.org/10.2118/2001-076.

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Thanh, Truong Truong. "An Improved Method for Reserves Estimation." In SPE Asia Pacific Oil and Gas Conference and Exhibition. Society of Petroleum Engineers, 2002. http://dx.doi.org/10.2118/101939-stu.

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Lee, W. John, and Rodney Earl Sidle. "Gas Reserves Estimation in Resource Plays." In SPE Unconventional Gas Conference. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/130102-ms.

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Cartier, Cheryl, Patrick Miller, and Peter Wagner. "Simple, Systematic Reserves Estimation for Unconventional Wells." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2019. http://dx.doi.org/10.2118/195851-ms.

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Villar, Jose, Fco Alberto Campos, Salvador Domenech, and Cristian A. Diaz. "Estimation of the Spanish secondary reserves requirements." In 2017 14th International Conference on the European Energy Market (EEM). IEEE, 2017. http://dx.doi.org/10.1109/eem.2017.7981894.

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Udie, Celestine, Fina Faithpraise, and Agnes Anuka. "Unconventional Method of Estimating Oilfield Reserve Initially in Place Using Decline Trends Analyses Techniques." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/207109-ms.

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Abstract Methods to estimate reserves, recovery factor and time are highlighted using uconventional method, to reduce the challenges in an oilfield development. General Information about reserves production estimation using long and short production data is collated. The collated data are plotted against time to build production decline curves. The curves are used to estimate the decline rate trends and constants. The decline constant is then used to predict reserves cumulative recovery. The rate trend is extrapolated to abandonment for estimation of reserves initially in place, recovery factor and the correspondent time. The reserves values are compared with field values for accuracy. It was observed that the result using data from long time production history accuracy was 99.98% while evaluation models built with data from short production history accuracy was 98.64%. The models are then adopted after validation. The validated curves are used to build the governing models which are finally used in estimating cumulative reserves recovery and initially in place. It is concluded that accurate reserves, recovery factor and time estimation challenges can be achieved/matched up using rate decline trend techniques.
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Galvao, Mauricio Da Silva Cunha, Livia Hastenreiter de Araujo, Juan Antonio Molina de Araujo, Ana Beatriz Esteves Teixeira Quadros, Jorge Montechiari, and Silvio Hamacher. "Probabilistic Reserves and Resources Estimation: A Methodology for Aggregating Probabilistic Petroleum Reserves and Resources." In SPE/EAGE European Unconventional Resources Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/152923-ms.

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Guzman, J. D. D., J. A. A. Arevalo, and O. Espinola. "Reserves Evaluation of Dry Gas Reservoirs through Flowing Pressure Material Balance Method." In SPE Energy Resources Conference. SPE, 2014. http://dx.doi.org/10.2118/spe-169989-ms.

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Abstract This paper describes the practical applicacion of a method known as Flowing Gas Material Balance FGMB (L. Mattar and Mcneil, 1997) for reserve's estimation using bottomhole flowing pressure data in two dry gas fields in Mexico. The main purpose of this work is to apply the method in real cases having enough data and make a comparison with other standard methods of reserves estimation (J. Lee, 1996 and G.J. DeSorcy, 1994) such as Volumetric, Decline Curve Analysis, Conventional Material Balance and Numerical Simulation to see the results and validate the efficacy of its application. There are some premises should be considered before its application that will be explained, besides the advantages and results of this comparison which showed differences no greater than 10% with respect to the method more trustable to report reserves for these reservoirs.
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Reports on the topic "Reserves estimation"

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Gevorgian, Vahan. Highly Accurate Method for Real-Time Active Power Reserve Estimation for Utility-Scale Photovoltaic Power Plants. Office of Scientific and Technical Information (OSTI), February 2019. http://dx.doi.org/10.2172/1505550.

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Wheelock, David C., and Paul W. Wilson. Non-parametric, Unconditional Quantile Estimation for Efficiency Analysis with An Application to Federal Reserve Check Processing Operations. Federal Reserve Bank of St. Louis, 2005. http://dx.doi.org/10.20955/wp.2005.027.

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Knotek-Smith, Heather, and Jeffrey Gerald. Environmental Quality Requirements Model Program Objective Memorandum Fiscal Years 2021–2025. Engineer Research and Development Center (U.S.), December 2020. http://dx.doi.org/10.21079/11681/39101.

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This document describes the methodology used to evaluate the costs incurred by organizations involved in planning, programming, budgeting, and execution of the Army’s environmental programs and estimating those costs for future year planning cycles, this model is referred to as the Environmental Quality Requirements Model (EQRM). The EQRM is used to develop the budget positions as presented to Congress to obtain the Operations and Maintenance appropriations. These appropriations fund the Environmental Quality Program which includes Compliance, Conservation and Pollution Prevention requirements. The model encompasses the commands under the funding structure of the Deputy Chief of Staff – G9 Installations which includes the following: Installation Management Command, the Army National Guard, the Army Reserve Command, and the Army Materiel Command.
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Estimation of US coal reserves by coal type. Office of Scientific and Technical Information (OSTI), October 1989. http://dx.doi.org/10.2172/5500118.

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Probabilistic method for estimating future growth of oil and gas reserves. US Geological Survey, 2001. http://dx.doi.org/10.3133/b2172c.

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Functional and reserve capacities of an organism estimation among sprinters according to “D&K-TEST” indices and taking into account bioprofile. Ilsiyar Sh. Mutaeva , Chulpan A. Gizatullina , Aleksandra S. Seliverstova, September 2020. http://dx.doi.org/10.14526/2070-4798-2020-15-3-48-55.

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