A study on petroleum exploration potential of Barito Basin in southeastern Kalimantan, Indonesia: comparison of petroleum system with adjacent Kutai Basin

AbstractAn inevitable aspect of modern petroleum exploration is the simultaneous consideration of large, complex, and disparate spatial data sets. In this context, the present article proposes the optimized fuzzy ELECTRE (OFE) approach based on combining the artificial bee colony (ABC) optimization algorithm, fuzzy logic, and an outranking method to assess petroleum potential at the petroleum system level in a spatial framework using experts’ knowledge and the information available in the discovered petroleum accumulations simultaneously. It uses the characteristics of the essential elements of a petroleum system as key criteria. To demonstrate the approach, a case study was conducted on the Red River petroleum system of the Williston Basin. Having completed the assorted preprocessing steps, eight spatial data sets associated with the criteria were integrated using the OFE to produce a map that makes it possible to delineate the areas with the highest petroleum potential and the lowest risk for further exploratory investigations. The success and prediction rate curves were used to measure the performance of the model. Both success and prediction accuracies lie in the range of 80–90%, indicating an excellent model performance. Considering the five-class petroleum potential, the proposed approach outperforms the spatial models used in the previous studies. In addition, comparing the results of the FE and OFE indicated that the optimization of the weights by the ABC algorithm has improved accuracy by approximately 15%, namely, a relatively higher success rate and lower risk in petroleum exploration.

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Dinoflagellate biostratigraphy of Eastern Indonesia stratigraphy: key of petroleum exploration success

Berita Sedimentologi ◽

10.51835/bsed.2021.47.3.362 ◽

2021 ◽

Vol 47 (3) ◽

pp. 75-76

Author(s):

Herman Darman

Keyword(s):

Source Rock ◽

Significant Role ◽

Petroleum System ◽

Petroleum Exploration ◽

Marine Biota ◽

Eastern Indonesia ◽

Continental Plate ◽

Sandstone Provenance

Several major discoveries in the eastern part of Indonesia (e.g. Tangguh and Abadi) have increased more petroleum exploration interest in the area. These sizeable discoveries encountered gas in the Jurassic sandstone, which is a key reservoir target in the Northwest Shelf of Australia. The Mesozoic sandstone provenance is located in the Australian Continental Plate or also known as the Sahul Shelf. Thousands of wells were drilled in the Sahul Shelf and the stratigraphy in this area is well understood. The extension of the Mesozoic sandstone towards Indonesian territory, with much less well information, is one of the keys of success for petroleum exploration. Refinement of the stratigraphy of the eastern part of Indonesia is crucial to understand the extension.To refine the stratigraphy of Eastern Indonesia, especially for the Mesozoic interval, dinoflagellates play a significant role. Several types of this marine biota have been used by Australian stratigraphers as markers. In the case where stratigraphic tie to Northwest Shelf Australia discoveries, key wells or standard chronostratigraphy, dinoflagellate understanding is critical.Dinoflagellate markers are used to mark several subdivisions of Plover Sandstone. Norvick (2001) used W. indotata and D. caddaensis Maximum Flooding Surfaces to subdivide the reservoir target into upper, middle and lower Plover Formation. These surfaces are named after dinoflagellates. More markers were identified to mark the source rock and seal in the petroleum system. To have a detail correlation from Indonesia to the NW Shelf, understanding of dinoflagellates is crucial.

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A PROCESS FOR ESTIMATING GEOLOGICAL RISK OF PETROLEUM EXPLORATION PROSPECTS

The APPEA Journal ◽

10.1071/aj97033 ◽

1998 ◽

Vol 38 (1) ◽

pp. 577 ◽

Cited By ~ 4

Author(s):

P. Watson

Keyword(s):

Knowledge Engineering ◽

Peer Group ◽

Petroleum System ◽

Petroleum Exploration ◽

Confidence Ratings

The concept of geological risk is critically important in petroleum exploration. It is distinct from both volumetric and commercia I risk. Geological risk is defined as the confidence that a proposed petroleum system is actually working at a particular prospect. Using knowledge-engineering techniques, BHP developed an improved scheme for assessing geological risk. The scheme expands the conventional breakdown of petroleum system elements to about fifty discrete factors, with individual confidence ratings being required for each. The ratings are combined into an overall geological risk using algorithms designed to emulate the typical judgements of experienced explorationists. In practice, application of the scheme also subjects each prospect to an extremely rigorous, detailed and objective review by a technical peer group, which has proved to be a valuable process in its own right. The methodology has improved the accuracy of pre-drill forecasting.

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Petroleum Resource Exploration System: As the Dongying Depression, Bohai Bay Basin, China

E3S Web of Conferences ◽

10.1051/e3sconf/202129903006 ◽

2021 ◽

Vol 299 ◽

pp. 03006

Author(s):

Yang Wang ◽

Yongqiang Yang ◽

Jiaqiang Luo ◽

Bateer Chen

Keyword(s):

Petroleum System ◽

Petroleum Exploration ◽

Bohai Bay ◽

Bohai Bay Basin ◽

Gas Reservoir ◽

Migration Path ◽

Dongying Depression ◽

Petroleum Resource ◽

Exploration Area ◽

Oil Gas

Bohai Bay Basin is a hot area for research marine petroleum. Petroleum System is an important method to study petroleum. However, facing on more complicated middle-high graded petroleum exploration area, formerly elements of the Petroleum System are not enough to cover all factors. Hydrocarbon was controlled by main migration path, additionally the complicated mechanism and controlling factors in a formed oil-gas pool are carefully considered. We put “track down (oil-gas reservoir) by following clues (the main migration path of petroleum)” based on the Dongying Depression data, and drill the best of all targets for oil-gas reservoir on the condition of revealing oil resource. The venture of petroleum exploration can be reduced farthest, and the benefit of petroleum exploration can be increased farthest by the method.

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Petroleum potential assessment using an optimized fuzzy outranking approach: A case study of the Red River petroleum system, Williston Basin

Energy Exploration & Exploitation ◽

10.1177/0144598720910264 ◽

2020 ◽

Vol 38 (4) ◽

pp. 960-988

Author(s):

Mohamad Hamzeh ◽

Farid Karimipour

Keyword(s):

Cuckoo Search ◽

Essential Elements ◽

Petroleum System ◽

Red River ◽

Petroleum Exploration ◽

Preference Ranking ◽

Williston Basin ◽

Petroleum Potential ◽

Search Optimization

This paper presents a new approach, called optimized fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), based on combining fuzzy logic, an outranking method and the cuckoo search optimization algorithm to assess petroleum potential in a spatial framework. The approach brings together flexibility and simplicity to solve petroleum exploration problem under uncertainty using experts’ knowledge and the information associated with the discovered oil pools simultaneously. The characteristics of the essential elements of the petroleum system are used as key criteria in the model. To exemplify the approach, a case study was undertaken in the Red River petroleum system of the Canadian portion of the Williston Basin. Eight datasets related to the selected criteria were integrated by the optimized fuzzy PROMETHEE to create a map that makes it possible to identify the areas of highest petroleum potential. All discovered oil pools in the Red River petroleum system were used in the verification process. The results indicated that the proposed approach can deal effectively with incomplete data and imprecise information, and can be efficiently used in petroleum exploration, thereby reducing the cost and risk of exploration.

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