Uru:
- Ikike iji wuo usoro geostatistic dị ka nhazi, variogram na kriging na AI na echiche ajụjụ.
- Ikike ịkọwa ihe ngbochi, mgbanaka ọkwa-tonnage na nhazi akụrụngwa (atụpụtara / gosipụtara / wepụta) site na nkwado AI.
- Ikike iji nwalee amụma na ụkpụrụ ejighị n'aka nke AI mepụtara site na ngụkọ onwe ya, nkwenye cross-validation na onye tozuru etozu (CP/QP)
Ọnụọgụ kacha dị mkpa maka ụlọ ọrụ na-egwuputa ihe bụ ego ole na ọkwa ọkwa dị n'okpuru ala. Nọmba a; Ọ na-ekpebi mkpebi ntinye ego, uru ahịa ngwaahịa, ego ụlọ akụ na ndụ nke ọkụ ọkụ. Ma ọ dịghị onye pụrụ ịtụ ihe niile n'otu n'otu; Ọ bụ naanị ebe a na-egwupụta ihe dị obere ka a na-atụpụta ma na-eme atụmatụ oge. A na-akpọ ịdọ aka ná ntị na-etinye amụma a na ntọala sayensị geostatistics. Geostatistics na-egosipụta ka data yiri nke ahụ (dabere na ọnọdụ dị na mbara igwe) na-atụle isi ihe na-enweghị atụ na oke ejighị n'aka. AI; Ọ bụ enyemaka dị ike na koodu, ntụnyere ọnọdụ na akụkụ nyocha nke ejighị n'aka nke usoro a. Otú ọ dị, ọ bụ mkpebi nke onye tozuru etozu (Onye ruru eru / CP na JORC, onye ruru eru / QP na NI 43-101) nke ihe nlereanya dị irè, nke a na-anabata nke ọma na otu a ga-esi ekewa akụ ahụ.
Akụrụngwa na nchekwa: oke mkpa dị iche
Ka anyị buru ụzọ kọwapụta okwu abụọ ahụ. Ihe onwunwe ịnweta: Ore nwere ike ịwepụta na akụ na ụba dabere na ozi ala; A na-ekewa ha dị ka ihe atụpụtara, gosi ma tụọ dịka ọkwa ntụkwasị obi siri dị. Mineral Reserve (nchekwa): akụkụ nke akụ nke nwere ike ị nweta uru n'ezie site na ọrụ aka na ụzụ na nke akụ na ụba (Usoro Ngwuputa, arụmọrụ ụlọ, ọnụ ahịa, ọnụahịa ígwè); A na-ekewa ha dị ka ihe nwere ike ime ma gosipụta ya. Ihe onwunwe bụ geological, ebe nchekwa bụ akụ na ụba. AI nwere ike ịkọwa nkọwa ndị a, mana ọ nweghị ike ikpebi klas nke ọnụọgụ ga-adaba; Nke a bụ ikpe nke onye tozuru etozu na-elele njupụta data na ntụkwasị obi na-aga n'ihu.
Nzọụkwụ site na nzọụkwụ: geostatistic workflow na ebe AI
- Nhazi. Na-eweta oge nyocha nke nha dị iche iche nha nha nha (dịka 1 m ma ọ bụ 2 m). AI: na-ede koodu, guzobe otu na mgbagha dị arọ; Ị na-achịkwa ihe ga-esi na ya pụta.
- Nyocha ndekọ ọnụ ọgụgụ. Nkesa ọkwa, outliers, capping (n'elu-ịkpụ: ịmachi oke akara ule dị elu). AI: na-emepụta histogram / koodu nchịkọta nchịkọta; Onye na-ahụ maka mbara ala na-eme mkpebi nke capping.
- Nyocha nke Variogram. Ịmepụta n'ihu n'ihu ọha: ka myirịta na-ebelata ka isi na-aga n'ihu. Oke, sill na nugget parameters. AI: na-akọwa echiche nke variogram, na-enye skeleton koodu; Onye geostatistician na-enyocha ụdị dabara adaba.
- Amụma (kriging/IDW/simulation). Na-ekenye akara ule na ngọngọ ọ bụla nke ụdị ngọngọ. Kriging bụ usoro nleba anya nke dabere na variogram. AI: na-akọwa ọdịiche nke usoro, na-ewu koodu; Ọkachamara na-ahọrọ parampat.
- Nyocha. Nkwenye gafere, ntụnyere amụma-na-nlekọta, nlele anya, njikwa ire ụtọ. AI: na-emepụta eserese nkwado; Ọkachamara na-ekwu okwu.
- Nhazi na mkpesa. klaasị akụrụngwa/dokwasa, klaasị-tonnage, ndakọrịta JORC/UMREK. AI: ederede ederede na tebụl; mbinye aka a bụ nke onye ikike.
Ndụmọdụ: Emela ka AI na-ekwu "ị na-ahọrọ paramita variogram". Range na nugget mmetụta na-adabere na geology nke ore ahu; nhọrọ na-ezighi ezi na-ebuwanye ibu ma ọ bụ mebie nchekwa ahụ. Jiri AI dị ka koodu na ihe na-emepụta ihe, hapụ onye geostatistician mkpebi ahụ.
Usoro ogo-tonnage na akara oke akụ na ụba (mpụ)
Ebipụ ọkwa bụ ọnụ ụzọ na-ekpebi ma a na-ewere ngọngọ dịka ma ọ bụ nchara; ọnụahịa metal na-adabere na ọnụ ahịa na arụmọrụ osisi. Ka oke ọkwa na-agbanwe, ụda na nkezi ọkwa nke nchekwa na-agbanwe; E gosipụtara mmekọrịta a site na usoro akara-tonnage. AI nwere ike dee koodu na-agbakọ usoro a wee jiri ngwa ngwa tụnyere ihe atụ (mbelata dị iche iche, ọnụahịa igwe dị iche iche). Ma ọnụ ahịa na ọnụahịa ọnụahịa nke a na-ekpebi ịkpụpụ bụ mkpebi akụ na ụba ma na-emekọ ọnụ site na ndị ọrụ nkà na ụzụ na njikwa.
Obere ikpe atọ
Ikpe 1 - Capping nleghara anya. N'ime ọrụ ọla edo, ọtụtụ mkpọpu mmiri na-ewepụta akararị dị elu nke 120 g/t. The otu krigs ha na-enweghị capping; Nkezi ọkwa bụ 2.4 g/t. AI na-agafe agafe; A na-ewelite atụmatụ n'ezie site na obere mkpọpu mmiri, ebe a na-ekenye ihe mgbochi ole na ole dị oke elu. Mgbe mkpuchi kwesịrị ekwesị (dịka 30 g / t) nkezi na-agbada ruo 1.7 g / t. Ihe dị iche na-agbanwe ozugbo ike nke ọrụ ahụ. AI mepụtara ngụkọta oge na eserese; Onye geostatistician mere mkpebi ọkwa ọkwa capping.
Ikpe 2 - Oke ezighi ezi. Ọ bụrụ na variogram nso na porphyry ọla kọpa bụ n'ezie 150 m mana a na-ewere ihe nlereanya ahụ ka ọ bụrụ 400 m, ebe ndị a na-egwupụta ihe na-apụtachaghị ìhè "nwere ntụkwasị obi" na ngọngọ ndị a ga-atụle na ha ga-atụgharị gaa na klas ahụ egosipụtara. A na-achọpụta nke a na nyocha na akụkụ dị ịrịba ama nke akụrụngwa a na-eweda ya na klaasị ntụkwasị obi dị ala. AI ewepụtala koodu variogram, mana e buliri njehie ahụ n'ihi na onye ọkachamara enyochaghị oke ahụ; Ihe mmụta a bụ ịhụ na onye ọkachamara kwadoro ihe nlereanya dabara adaba.
Ikpe 3 - ntụnyere ọnọdụ dị mma. N'ime ọrụ ígwè, ndị otu ahụ chọrọ ịhụ nsonaazụ ọkwa-tonnage maka nkwụsị atọ dị iche iche (20%, 25%, 30% Fe). Ha na-ede akwụkwọ edemede Python na AI nke na-eme oke / olu / density na mgbako ọkwa-tonnage, na-eji data ihe nkpuchi nke ha. Tebụl edemede 3 ndapụta n'ime sekọnd. Ndị otu ahụ na-akwado nsonaazụ site na aka na ngọngọ wee banye n'ime nzukọ mkpebi na eserese ntụnyere doro anya. AI emeela ka ngụkọ ugboro ugboro ebe a; Data na mkpebi bụ nke otu.
Ndebiri ozugbo enwere ike iṅomi
COMPOSITION CODE "Ọrụ: Ị bụ onye inyeaka geostatistics. Dee ọrụ na Python + pandas nke na-agbanwe site na-na-interval assay data into FIXED [1 m] composites. Iwu: WEIGHTLY nkezi ọkwa site na etiti oge; wụsa na kọọ oge efu / efu; usoro okwu iche iche dabere na oghere NJ. Dee nkeji ole na ole na-eweghachite n'usoro nchikota. wụsara na nsonaazụ ya."
VARIOGRAM CONCEPT + CODE "Gịnị bụ variogram: kọwaa echiche nke nugget, sill na nso n'asụsụ dị mfe. Mgbe ahụ gbakọọ nnwale variogram n'otu ntụziaka ma nye a spherical nlereanya dabara adaba n'ọkwa koodu skeleton. Tinye a ịdọ aka ná ntị ndetu: nso na nugget ga-ọkachamara ahọrọ dị ka geology nke ore ndị a, emela uru. "
Ọhụụ GRADE-TONNAGE "Ụkpụrụ ihe mgbochi nwere kọlụm ndị a: [x,y,z, grade, blockvolume, density].Dee edemede na-agbakọ mkpokọta tonnage na nkezi ọkwa n'ọnọdụ ọ bụla maka ụkpụrụ mbelata ndị a [0.3; 0.4; 0.5].
CROSS-VALIDATION Comments "N'okpuru ebe a bụ kriging cross-validation results (ezigbo vs amụma) okwu na: enwere usoro nhụsianya, bụ amụma oversmoothing, kedu ọkwa ọkwa dị iche iche buru ibu? Emela mkpebi siri ike; na-atụ aro nke oke onye geostatistician kwesịrị nyochaa. Data: [mado]."
Ngwa ngwa adịghị ike / Ike siri ike
AKWỤKWỌ NA-ECHICHE: "Gbakọọ ebe nchekwa maka ọrụ a."
IKE PROMPT: "Ọrụ: Ị bụ onye na-enyere aka geostatistics. M ga-enye gị ihe mgbochi nke m na ihe dị iche iche variogram. Tọọ usoro Python nke nwere nkeji a na-atụgharị na echiche nke na-emepụta kriging estimation + cross-validation + grade-tonnage curve. Họrọ parameters; jiri nke m. Detuo akwụkwọ na njedebe nke akụkọ ahụ na CP ga-akwado ya na nsonaazụ ya (P) JORC/UMREK."
Tebụl atụnyere: usoro na ọrụ AI
nzọụkwụ
Ebumnuche
Ọrụ AI
Ọkachamara ikpe
Nhazi
Ogologo nkwado nha nhata
Koodu + njikwa
Nha ngwakọta
Nkwudo okwu
Oke oke
Eserese/ọnụọgụ
Ọkwa okpu
variogram
oghere n'ihu
Echiche + koodu
Nhọrọ oke/nugt
kriging
Mgbochi amụma
Koodu + iyi
Parameter + usoro
Nhazi
Ọkwa ntụkwasị obi
ederede ederede
JORC/UMREK ikpe
Mmejọ ndị nkịtị
- Na-amafe mkpuchi. Bonanza ole na ole na-ebuli nkezi uru na idobere.
- Inwe paramita variogram nke AI họpụtara. Oke / nugget dabere na geology; Nhọrọ na-ezighi ezi na-akpaghasị ebe nchekwa ahụ n'usoro.
- Akụ na-agbagwoju anya na ihe nchekwa. Ihe onwunwe bụ geological, ebe nchekwa bụ akụ na ụba; Klas anaghị agbanwe agbanwe.
- Na-eleghara ire ụtọ. Kriging nwere ike ime ka tenor dị nro karịa; Ọ na-ebelata tenor dị elu ma na-abawanye tenor dị ala.
- Ịkọ ọkwa nkewa na-enweghị nkwado onye ruru eru. JORC/UMREK dị irè naanị na mbinye aka nke onye ikike.
Nlebara anya: Nọmba idobere bụ nkwupụta gọọmentị ekpughere n'ahịa mgbanwe ngwaahịa, ụlọ akụ na onye na-etinye ego. Enweghị nsonaazụ etiti nke AI mepụtara nwere ike bụrụ nkwupụta nchekwa/nkwupụta akụrụngwa na-enweghị nyocha onwe ya na mbinye aka nke onye tozuru etozu (CP/QP).
Na nchịkọta
Geostatistics bụ ịdọ aka ná ntị nke ịtụle ahụ dum na-ejighị n'aka site na mkpọpu ala: nhazi, capping, variogram, kriging, nkwenye na nhazi ọkwa. Na iyi a, AI siri ike na nzuzo, ntụnyere ọnọdụ, ngụkọ-tonnage na eserese ngosi. Mana variogram parameters, capping level and resource/reservation classification bụ ọkachamara mkpebi na nkwupụta gọọmentị chọrọ mbinye aka nke onye tozuru etozu. Ihe onwunwe bụ geological, ebe nchekwa bụ akụ na ụba; Adịla mgbe ihichapụ ọdịiche a.
Ọrụ ngwa
Mepụta tonnage na nkezi tebụl ọkwa maka mbelata atọ dị iche iche site na iji ndebiri “Grade-tonnage scenario” nwere data ọkwa ọkwa (ma ọ bụ nke gị). Mgbe ahụ, nwee AI ka ọ sụgharịa nsonaazụ kriging na ndebiri “Cross-validation Translation” wee depụta paramita ndị chọrọ nyocha ọkachamara. N'ikpeazụ, nwee AI kọwapụta ọdịiche dị n'etiti akụrụngwa na idobe yana ọkwa ntụkwasị obi nkewa n'okwu nke gị wee lelee izi ezi ya megide nkọwa koodu gọọmentị.
ndetu
- [] M kpebisiri ike na nha ihe mejupụtara na echiche nke otu, ahapụghị m ya na AI.
- [] Onye ọkà mmụta mbara ala/geostatistician mere mkpebi nkwubi okwu maka ụkpụrụ dị oke egwu.
- [] Variogram nso na nugget uru ọkachamara nyochara.
- M nwalere nsonaazụ Kriging site na nkwenye gafere na nyocha anya.
- [ ] Eji m akụ na idobe klaasị n'ụzọ ziri ezi na iche iche.
- [ ] Achọpụtara m na akụkọ ahụ na a chọrọ nkwado onye tozuru etozu (CP/QP) maka nkwupụta gọọmentị.